Mark van der Laan
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Dutch statistician
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Mark van der Laanmathematics Degrees
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Mathematics
Mark van der Laan's Degrees
- PhD Statistics University of California, Berkeley
- Masters Mathematics University of Amsterdam
- Bachelors Mathematics University of Amsterdam
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Why Is Mark van der Laan Influential?
(Suggest an Edit or Addition)According to Wikipedia, Mark Johannes van der Laan is the Jiann-Ping Hsu/Karl E. Peace Professor of Biostatistics and Statistics at the University of California, Berkeley. He has made contributions to survival analysis, semiparametric statistics, multiple testing, and causal inference. He also developed the targeted maximum likelihood estimation methodology. He is a founding editor of the Journal of Causal Inference.
Mark van der Laan's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- Super Learner (2007) (1233)
- Unified Methods for Censored Longitudinal Data and Causality (2003) (996)
- Targeted Learning: Causal Inference for Observational and Experimental Data (2011) (896)
- To GEE or Not to GEE: Comparing Population Average and Mixed Models for Estimating the Associations Between Neighborhood Risk Factors and Health (2010) (867)
- Targeted Maximum Likelihood Learning (2006) (732)
- Survival ensembles. (2006) (473)
- Multiple Testing Procedures with Applications to Genomics (2007) (442)
- Estimation of Direct Causal Effects (2006) (412)
- Diagnosing and responding to violations in the positivity assumption (2012) (409)
- Marginal Mean Models for Dynamic Regimes (2001) (380)
- Mortality prediction in intensive care units with the Super ICU Learner Algorithm (SICULA): a population-based study. (2015) (267)
- The relative performance of ensemble methods with deep convolutional neural networks for image classification (2017) (263)
- Multiple Testing Procedures: the multtest Package and Applications to Genomics (2005) (258)
- Unified Cross-Validation Methodology For Selection Among Estimators and a General Cross-Validated Adaptive Epsilon-Net Estimator: Finite Sample Oracle Inequalities and Examples (2003) (258)
- Why Match? Investigating Matched Case-Control Study Designs with Causal Effect Estimation (2009) (251)
- A new partitioning around medoids algorithm (2003) (247)
- Coarsening at Random: Characterizations, Conjectures, Counter-Examples (1997) (225)
- Super Learning: An Application to the Prediction of HIV-1 Drug Resistance (2007) (223)
- Influenza Vaccination and Mortality: Differentiating Vaccine Effects From Bias (2009) (209)
- Asymptotic Optimality of Likelihood-Based Cross-Validation (2004) (208)
- Augmentation Procedures for Control of the Generalized Family-Wise Error Rate and Tail Probabilities for the Proportion of False Positives (2004) (194)
- Multiple Testing. Part I. Single-Step Procedures for Control of General Type I Error Rates (2004) (193)
- A new algorithm for hybrid hierarchical clustering with visualization and the bootstrap (2003) (187)
- Covariate adjustment in randomized trials with binary outcomes: Targeted maximum likelihood estimation (2009) (186)
- Asymptotics of cross-validated risk estimation in estimator selection and performance assessment (2005) (182)
- Collaborative Double Robust Targeted Maximum Likelihood Estimation (2010) (176)
- Super Learner In Prediction (2010) (175)
- Computationally efficient confidence intervals for cross-validated area under the ROC curve estimates. (2015) (175)
- tmle : An R Package for Targeted Maximum Likelihood Estimation (2012) (172)
- STATISTICAL INFERENCE FOR THE MEAN OUTCOME UNDER A POSSIBLY NON-UNIQUE OPTIMAL TREATMENT STRATEGY. (2016) (163)
- Cross-Validated Targeted Minimum-Loss-Based Estimation (2011) (162)
- Causal Effect Models for Realistic Individualized Treatment and Intention to Treat Rules (2007) (160)
- Pillbox organizers are associated with improved adherence to HIV antiretroviral therapy and viral suppression: a marginal structural model analysis. (2007) (157)
- A Targeted Maximum Likelihood Estimator of a Causal Effect on a Bounded Continuous Outcome (2010) (156)
- Statistical Inference for Variable Importance (2006) (152)
- HIV Testing and Treatment with the Use of a Community Health Approach in Rural Africa. (2019) (151)
- Population Intervention Causal Effects Based on Stochastic Interventions (2012) (147)
- Causal Models and Learning from Data: Integrating Causal Modeling and Statistical Estimation (2014) (146)
- Oracle inequalities for multi-fold cross validation (2006) (146)
- Targeted Minimum Loss Based Estimation of Causal Effects of Multiple Time Point Interventions (2012) (145)
- Deletion/Substitution/Addition Algorithm in Learning with Applications in Genomics (2004) (143)
- Inefficient estimators of the bivariate survival function for three models (1995) (142)
- Improving propensity score estimators' robustness to model misspecification using super learner. (2015) (140)
- The Cross-Validated Adaptive Epsilon-Net Estimator (2006) (139)
- Long-term consequences of the delay between virologic failure of highly active antiretroviral therapy and regimen modification (2008) (132)
- Identification of regulatory elements using a feature selection method (2002) (128)
- Direct Effect Models (2008) (128)
- Efficient estimation in the bivariate censoring model and repairing NPMLE (1996) (127)
- Multiple Testing. Part II. Step-Down Procedures for Control of the Family-Wise Error Rate (2004) (124)
- The Risk of Virologic Failure Decreases with Duration of HIV Suppression, at Greater than 50% Adherence to Antiretroviral Therapy (2009) (123)
- Association of Implementation of a Universal Testing and Treatment Intervention With HIV Diagnosis, Receipt of Antiretroviral Therapy, and Viral Suppression in East Africa (2017) (122)
- Targeted Maximum Likelihood Estimation for Dynamic and Static Longitudinal Marginal Structural Working Models (2014) (119)
- An application of model-fitting procedures for marginal structural models. (2005) (117)
- Targeted Learning in Data Science. Causal Inference for Complex Longitudinal Studies. (2018) (115)
- Colon cancer prognosis prediction by gene expression profiling (2005) (115)
- Why prefer double robust estimators in causal inference (2005) (114)
- The Relative Performance of Targeted Maximum Likelihood Estimators (2011) (108)
- Choice of a null distribution in resampling-based multiple testing (2004) (104)
- Super-Learning of an Optimal Dynamic Treatment Rule (2016) (102)
- Nonparametric causal effects based on marginal structural models (2007) (100)
- Empirical Efficiency Maximization: Improved Locally Efficient Covariate Adjustment in Randomized Experiments and Survival Analysis (2008) (98)
- The Highly Adaptive Lasso Estimator (2016) (96)
- Gene expression analysis with the parametric bootstrap. (2001) (94)
- Doubly robust nonparametric inference on the average treatment effect (2017) (92)
- A randomized, controlled trial of in-home drinking water intervention to reduce gastrointestinal illness. (2005) (92)
- An Application of Collaborative Targeted Maximum Likelihood Estimation in Causal Inference and Genomics (2010) (92)
- Tree-based multivariate regression and density estimation with right-censored data (2004) (91)
- Targeted Maximum Likelihood Estimation of Natural Direct Effects (2012) (91)
- Robust estimation of encouragement design intervention effects transported across sites (2017) (89)
- Asymptotic Theory for Cross-validated Targeted Maximum Likelihood Estimation (2010) (88)
- Effects of Physical Activity and Body Composition on Functional Limitation in the Elderly: Application of the Marginal Structural Model (2004) (88)
- Targeted Maximum Likelihood Based Causal Inference: Part I (2010) (86)
- Causal Inference for Social Network Data (2017) (85)
- Supervised Detection of Conserved Motifs in DNA Sequences with Cosmo (2007) (83)
- Population intervention models in causal inference. (2008) (82)
- Causal inference in epidemiological studies with strong confounding (2012) (82)
- Use of a machine learning framework to predict substance use disorder treatment success (2017) (81)
- History-Adjusted Marginal Structural Models and Statically-Optimal Dynamic Treatment Regimens (2005) (81)
- On Profile Likelihood: Comment (2000) (80)
- Recurrent events analysis in the presence of time‐dependent covariates and dependent censoring (2004) (77)
- Targeted Learning of the Mean Outcome under an Optimal Dynamic Treatment Rule (2015) (72)
- Targeted Estimation of Nuisance Parameters to Obtain Valid Statistical Inference (2014) (71)
- Modeling treatment effects on binary outcomes with grouped-treatment variables and individual covariates. (2002) (70)
- Resampling-based Multiple Testing: Asymptotic Control of Type I Error and Applications to Gene Expression Data (2003) (70)
- ltmle: An R Package Implementing Targeted Minimum Loss-Based Estimation for Longitudinal Data (2017) (69)
- Targeted Maximum Likelihood Estimation of the Parameter of a Marginal Structural Model (2010) (68)
- A General Implementation of TMLE for Longitudinal Data Applied to Causal Inference in Survival Analysis (2012) (68)
- Multiple Testing Methods For ChIP - Chip High Density Oligonucleotide Array Data (2006) (66)
- A Method to Identify Significant Clusters in Gene Expression Data (2002) (66)
- Current Status Data: Review, Recent Developments and Open Problems (2003) (66)
- Regulatory motif finding by logic regression (2004) (65)
- Simple, Efficient Estimators of Treatment Effects in Randomized Trials Using Generalized Linear Models to Leverage Baseline Variables (2010) (64)
- History-adjusted marginal structural models for estimating time-varying effect modification. (2007) (64)
- Statistical inference for simultaneous clustering of gene expression data. (2002) (62)
- A Method to Increase the Power of Multiple Testing Procedures Through Sample Splitting (2006) (62)
- Effects of body composition and leisure-time physical activity on transitions in physical functioning in the elderly. (2005) (61)
- Causal Inference for a Population of Causally Connected Units (2014) (60)
- Diagnosing Bias in the Inverse Probability of Treatment Weighted Estimator Resulting from Violation of Experimental Treatment Assignment (2006) (60)
- Optimizing randomized trial designs to distinguish which subpopulations benefit from treatment. (2011) (59)
- Biomarker discovery using targeted maximum‐likelihood estimation: Application to the treatment of antiretroviral‐resistant HIV infection (2009) (59)
- Using Regression Models to Analyze Randomized Trials: Asymptotically Valid Hypothesis Tests Despite Incorrectly Specified Models (2009) (59)
- Selecting Optimal Subgroups for Treatment Using Many Covariates (2018) (59)
- Optimal Individualized Treatments in Resource-Limited Settings (2016) (59)
- Locally efficient estimation with current status data and time-dependent covariates (1998) (58)
- Statistical Inference for Data Adaptive Target Parameters (2016) (58)
- Collaborative Targeted Maximum Likelihood for Time to Event Data (2010) (58)
- Longitudinal Mediation Analysis with Time-varying Mediators and Exposures, with Application to Survival Outcomes (2017) (58)
- A semiparametric model selection criterion with applications to the marginal structural model (2006) (57)
- Measuring changes in transmission of neglected tropical diseases, malaria, and enteric pathogens from quantitative antibody levels (2017) (56)
- Hybrid Clustering of Gene Expression Data with Visualization and the Bootstrap (2001) (56)
- Simple Optimal Weighting of Cases and Controls in Case-Control Studies (2008) (56)
- Nonparametric Estimation of the Bivariate Survival Function with Truncated Data (1996) (55)
- Assessing the effectiveness of antiretroviral adherence interventions. Using marginal structural models to replicate the findings of randomized controlled trials. (2006) (54)
- Incidence, risk factors and prediction of post-operative acute kidney injury following cardiac surgery for active infective endocarditis: an observational study (2013) (54)
- Fitting of mixtures with unspecified number of components using cross validation distance estimate (2003) (54)
- Super Learner Analysis of Electronic Adherence Data Improves Viral Prediction and May Provide Strategies for Selective HIV RNA Monitoring (2015) (54)
- Expert-augmented machine learning (2019) (53)
- Handbook of Big Data (2016) (52)
- Using Super Learner Prediction Modeling to Improve High-dimensional Propensity Score Estimation (2018) (52)
- Resampling-Based Multiple Hypothesis Testing with Applications to Genomics: New Developments in the R/Bioconductor Package multtest (2009) (51)
- Estimation based on case-control designs with known prevalence probability. (2008) (51)
- Efficient Estimation from Right-Censored Data When Failure Indicators are Missing at Random (1998) (51)
- Nonparametric estimation from current status data with competing risks (2003) (50)
- Efficient and inefficient estimation in semiparametric models (1995) (50)
- Nonparametric Locally Efficient Estimation of the Treatment Specific Survival Distribution with Right Censored Data and Covariates in Observational Studies (2000) (49)
- Targeted estimation and inference for the sample average treatment effect in trials with and without pair‐matching (2016) (49)
- Data-adaptive selection of the truncation level for Inverse-Probability-of-Treatment-Weighted estimators (2008) (49)
- Targeted learning in real‐world comparative effectiveness research with time‐varying interventions (2014) (49)
- EFFECT OF BREASTFEEDING ON GASTROINTESTINAL INFECTION IN INFANTS: A TARGETED MAXIMUM LIKELIHOOD APPROACH FOR CLUSTERED LONGITUDINAL DATA. (2014) (49)
- Locally Efficient Estimation of a Multivariate Survival Function in Longitudinal Studies (2002) (49)
- One-Step Targeted Minimum Loss-based Estimation Based on Universal Least Favorable One-Dimensional Submodels (2016) (49)
- Estimating a survival distribution with current status data and high-dimensional covariates (2006) (49)
- Exploratory and Confirmatory Gene Expression Profiling of mac1Δ* (2004) (48)
- Targeted Learning of an Optimal Dynamic Treatment, and Statistical Inference for its Mean Outcome (2014) (48)
- Empirical Bayes and Resampling Based Multiple Testing Procedure Controlling Tail Probability of the Proportion of False Positives. (2005) (47)
- Estimation Based on Case-Control Designs with Known Prevalence Probability (2008) (46)
- A Generally Efficient Targeted Minimum Loss Based Estimator based on the Highly Adaptive Lasso (2017) (46)
- Targeted Maximum Likelihood Based Causal Inference: Part I (2010) (46)
- Leisure-time Physical Activity and All-cause Mortality in an Elderly Cohort (2009) (46)
- Statistical Issues and Limitations in Personalized Medicine Research with Clinical Trials (2012) (45)
- A causal inference approach for constructing transcriptional regulatory networks (2005) (44)
- Analysis of longitudinal marginal structural models. (2004) (43)
- Semi-Parametric Estimation and Inference for the Mean Outcome of the Single Time-Point Intervention in a Causally Connected Population (2016) (43)
- Discovery with Data: Leveraging Statistics with Computer Science to Transform Science and Society (2014) (42)
- Generalizations of current status data with applications. (1995) (42)
- Loss-Based Cross-Validated Deletion/Substitution/Addition Algorithms in Estimation (2004) (42)
- Targeted Maximum Likelihood Estimation: A Gentle Introduction (2009) (42)
- A Doubly Robust Censoring Unbiased Transformation (2007) (41)
- Colon Cancer Survival With Herbal Medicine and Vitamins Combined With Standard Therapy in a Whole-Systems Approach (2011) (40)
- Propensity score prediction for electronic healthcare databases using super learner and high-dimensional propensity score methods (2017) (40)
- Application of Time-to-Event Methods in the Assessment of Safety in Clinical Trials (2009) (39)
- Estimation of treatment effects in randomized trials with non‐compliance and a dichotomous outcome (2004) (39)
- Optimizing matching and analysis combinations for estimating causal effects (2016) (39)
- Targeted Data Adaptive Estimation of the Causal Dose–Response Curve (2013) (38)
- Adaptive pre‐specification in randomized trials with and without pair‐matching (2016) (38)
- Targeted Minimum Loss Based Estimator that Outperforms a given Estimator (2012) (37)
- Cravings as a mediator and moderator of drinking outcomes in the COMBINE study. (2013) (37)
- Analyzing sequentially randomized trials based on causal effect models for realistic individualized treatment rules (2008) (36)
- Accounting for Differences Among Patients in the FDA Approval Process (2009) (36)
- Online cross‐validation‐based ensemble learning (2018) (35)
- partDSA: deletion/substitution/addition algorithm for partitioning the covariate space in prediction (2010) (35)
- Increasing Power in Randomized Trials with Right Censored Outcomes Through Covariate Adjustment (2009) (35)
- Statistical estimation of parameters in a disease transmission model: analysis of a Cryptosporidium outbreak (2002) (35)
- A Targeted Maximum Likelihood Estimator for Two-Stage Designs (2011) (35)
- Constrained binary classification using ensemble learning: an application to cost‐efficient targeted PrEP strategies (2018) (35)
- A practical illustration of the importance of realistic individualized treatment rules in causal inference. (2007) (34)
- More Efficient Off-Policy Evaluation through Regularized Targeted Learning (2019) (34)
- Supervised Detection of Regulatory Motifs in DNA Sequences (2003) (34)
- Targeted Maximum Likelihood Based Causal Inference: Part II (2010) (34)
- Construction of Counterfactuals and the G-computation Formula (2002) (33)
- Estimation of Direct and Indirect Causal Effects in Longitudinal Studies (2004) (33)
- A Statistical Method for Constructing Transcriptional Regulatory Networks Using Gene Expression and Sequence Data (2005) (33)
- Statistical methods for analyzing sequentially randomized trials. (2007) (33)
- Double Robust Estimation in Longitudinal Marginal Structural Models (2006) (33)
- Causal Inference for a Population of Causally Connected Units (2014) (33)
- AUC-Maximizing Ensembles through Metalearning (2016) (32)
- Data-adaptive test statistics for microarray data (2005) (32)
- Resampling‐Based Empirical Bayes Multiple Testing Procedures for Controlling Generalized Tail Probability and Expected Value Error Rates: Focus on the False Discovery Rate and Simulation Study (2008) (32)
- Scalable collaborative targeted learning for high-dimensional data (2017) (31)
- Adaptive pair‐matching in randomized trials with unbiased and efficient effect estimation (2015) (31)
- Super Learner Based Conditional Density Estimation with Application to Marginal Structural Models (2011) (31)
- Locally Efficient Estimation of the Quality‐Adjusted Lifetime Distribution with Right‐Censored Data and Covariates (1999) (31)
- Machine learning to identify persons at high-risk of HIV acquisition in rural Kenya and Uganda. (2019) (31)
- Targeting the Optimal Design in Randomized Clinical Trials with Binary Outcomes and No Covariate: Simulation Study (2011) (31)
- Quantile-Function Based Null Distribution in Resampling Based Multiple Testing (2006) (31)
- Causal Mediation in a Survival Setting with Time-Dependent Mediators (2012) (30)
- Targeted Minimum Loss Based Estimation of an Intervention Specific Mean Outcome (2011) (30)
- Entering the Era of Data Science: Targeted Learning and the Integration of Statistics and Computational Data Analysis (2014) (30)
- Nonparametric estimators of the bivariate survival function under random censoring (1997) (29)
- Finding Quantitative Trait Loci Genes with Collaborative Targeted Maximum Likelihood Learning. (2011) (29)
- Robust extraction of covariate information to improve estimation efficiency in randomized trials (2011) (29)
- Targeted learning with daily EHR data (2017) (29)
- A double robust approach to causal effects in case-control studies. (2014) (29)
- Estimation of a non-parametric variable importance measure of a continuous exposure. (2012) (29)
- Collaborative-controlled LASSO for constructing propensity score-based estimators in high-dimensional data (2017) (29)
- Confidence Intervals for the Population Mean Tailored to Small Sample Sizes, with Applications to Survey Sampling (2009) (28)
- Statistics Ready for a Revolution: Next Generation of Statisticians Must Build Tools for Massive Data Sets (2010) (28)
- Cluster Analysis of Genomic Data (2005) (28)
- Targeted Maximum Likelihood Estimation of Effect Modification Parameters in Survival Analysis (2011) (28)
- Multiple Testing Procedures for Controlling Tail Probability Error Rates (2004) (28)
- Multiple Testing. Part III. Procedures for Control of the Generalized Family-Wise Error Rate and Proportion of False Positives (2004) (28)
- Targeted maximum likelihood estimation in safety analysis. (2013) (26)
- Occupational Exposure to PM2.5 and Incidence of Ischemic Heart Disease (2015) (26)
- Asymptotics of Cross-Validated Risk Estimation in Model Selection and Performance Assessment (2003) (26)
- Causal Effect Models for Intention to Treat and Realistic Individualized Treatment Rules (2006) (26)
- Bivariate current status data with univariate monitoring times (2005) (26)
- Online Targeted Learning (2014) (26)
- Robust and Flexible Estimation of Stochastic Mediation Effects: A Proposed Method and Example in a Randomized Trial Setting (2017) (25)
- Estimation of the optimal surrogate based on a randomized trial (2018) (25)
- Optimal Spatial Prediction Using Ensemble Machine Learning (2016) (25)
- Readings in Targeted Maximum Likelihood Estimation (2009) (25)
- Evaluating the impact of treating the optimal subgroup (2016) (25)
- Loss-based estimation with cross-validation: applications to microarray data analysis (2003) (24)
- Data-adaptive Selection Of The Adjustment Set In Variable Importance Estimation (2008) (24)
- Targeted Maximum Likelihood Based Causal Inference (2010) (24)
- A new approach to hierarchical data analysis: Targeted maximum likelihood estimation for the causal effect of a cluster-level exposure (2017) (24)
- Estimation with Interval Censored Data and Covariates (1997) (24)
- Improving the FDA Approval Process (2011) (24)
- Assessing the Causal Effect of Policies: An Example Using Stochastic Interventions (2013) (24)
- Targeting the Optimal Design in Randomized Clinical Trials with Binary Outcomes and No Covariate: Theoretical Study (2010) (24)
- van der Laan et al. Respond to “Hypothetical Interventions to Define Causal Effects” (2005) (23)
- Virologic efficacy of boosted double versus boosted single protease inhibitor therapy (2007) (23)
- A Case Study of the Impact of Data-Adaptive Versus Model-Based Estimation of the Propensity Scores on Causal Inferences from Three Inverse Probability Weighting Estimators (2016) (23)
- An omnibus non‐parametric test of equality in distribution for unknown functions (2015) (23)
- Lung Cancer Survival With Herbal Medicine and Vitamins in a Whole-Systems Approach (2011) (23)
- Identification and Efficient Estimation of the Natural Direct Effect among the Untreated (2013) (23)
- Multiple tests of association with biological annotation metadata (2008) (23)
- Modeling the impact of hepatitis C viral clearance on end‐stage liver disease in an HIV co‐infected cohort with targeted maximum likelihood estimation (2014) (22)
- Sequential Double Robustness in Right-Censored Longitudinal Models (2017) (22)
- Subsemble: an ensemble method for combining subset-specific algorithm fits (2014) (22)
- Dimension reduction with gene expression data using targeted variable importance measurement (2011) (22)
- Smooth estimation of a monotone density (2003) (21)
- On adaptive propensity score truncation in causal inference (2017) (21)
- ADAPTIVE MATCHING IN RANDOMIZED TRIALS AND OBSERVATIONAL STUDIES. (2012) (21)
- TMLE for Marginal Structural Models Based on an Instrument (2016) (21)
- Nonparametric efficient causal mediation with intermediate confounders (2019) (21)
- Measuring Treatment Effects Using Semiparametric Models (2003) (21)
- simcausal R Package: Conducting Transparent and Reproducible Simulation Studies of Causal Effect Estimation with Complex Longitudinal Data. (2017) (21)
- Targeted Methods for Biomarker Discovery, the Search for a Standard (2008) (21)
- One‐step targeted maximum likelihood estimation for time‐to‐event outcomes (2019) (21)
- Why Prefer Double Robust Estimates? Illustration with Causal Point Treatment Studies (2002) (21)
- Child wasting and concurrent stunting in low- and middle-income countries (2020) (21)
- Test Statistics Null Distributions in Multiple Testing: Simulation Studies and Applications to Genomics (2005) (20)
- The Current Landscape in Biostatistics of Real-World Data and Evidence: Causal Inference Frameworks for Study Design and Analysis (2021) (20)
- Causal inference in longitudinal studies with history-restricted marginal structural models. (2007) (20)
- Higher-order Targeted Minimum Loss-based Estimation (2014) (20)
- Longitudinal Targeted Maximum Likelihood Estimation (2015) (20)
- Efficiency of the NPMLE in the line-segment problem (1996) (20)
- The Open Problem (2011) (20)
- Double Robust Efficient Estimators of Longitudinal Treatment Effects: Comparative Performance in Simulations and a Case Study (2019) (20)
- Sensitivity Analysis for Causal Inference under Unmeasured Confounding and Measurement Error Problems (2013) (20)
- Estimating Effects with Rare Outcomes and High Dimensional Covariates: Knowledge is Power (2016) (20)
- Fast rates for empirical risk minimization over c\`adl\`ag functions with bounded sectional variation norm (2019) (20)
- Super learner based conditional density estimation with application to marginal structural models. (2011) (19)
- Efficient estimation of the lifetime and disease onset distribution (1997) (19)
- Doubly robust inference for targeted minimum loss–based estimation in randomized trials with missing outcome data (2017) (19)
- Locally efficient estimation of the survival distribution with right-censored data and covariates when collection of data is delayed (1998) (19)
- Sustainable East Africa Research in Community Health (SEARCH): a community cluster randomized study of HIV "test and treat" using multi-disease approach in rural Uganda and Kenya (2017) (19)
- Nonlinearity in demographic and behavioral determinants of morbidity. (2003) (18)
- Data-adaptive estimation of the treatment-specific mean (2007) (18)
- Multiple Testing and Data Adaptive Regression: An Application to HIV-1 Sequence Data. (2005) (18)
- Individualized treatment rules: Generating candidate clinical trials (2007) (18)
- Racial/Ethnic Differences in the Role of Childhood Adversities for Mental Disorders Among a Nationally Representative Sample of Adolescents (2016) (18)
- Locally Efficient Estimation of Nonparametric Causal Effects on Mean Outcomes in Longitudinal Studies (2003) (18)
- Singly and Doubly Censored Current Status Data: Estimation, Asymptotics and Regression (1997) (17)
- hal9001: Scalable highly adaptive lasso regression in R (2020) (17)
- Evaluating the Impact of a HIV Low-Risk Express Care Task-Shifting Program: A Case Study of the Targeted Learning Roadmap (2016) (17)
- Efficient nonparametric inference on the effects of stochastic interventions under two‐phase sampling, with applications to vaccine efficacy trials (2020) (17)
- C-TMLE of an Additive Point Treatment Effect (2011) (17)
- Consistent causal effect estimation under dual misspecification and implications for confounder selection procedures (2015) (16)
- Nonparametric Maximum Likelihood (2005) (16)
- Locally Ecient Estimation with Current Status Data and Time-Dependent Covariates (2001) (16)
- Case-Control Current Status Data (2004) (16)
- Targeted ANCOVA Estimator in RCTs (2011) (16)
- Extending Marginal Structural Models through Local, Penalized, and Additive Learning (2006) (16)
- Post-Contextual-Bandit Inference (2021) (15)
- Super Learning for Right-Censored Data (2011) (15)
- TARGETED SEQUENTIAL DESIGN FOR TARGETED LEARNING INFERENCE OF THE OPTIMAL TREATMENT RULE AND ITS MEAN REWARD. (2017) (15)
- Inference in Targeted Group‐Sequential Covariate‐Adjusted Randomized Clinical Trials (2014) (15)
- Paired and Unpaired Comparisons and Clustering with Gene Expression Data (2001) (14)
- Smoking Is Associated with Higher Disease Activity in Rheumatoid Arthritis: A Longitudinal Study Controlling for Time-varying Covariates (2018) (14)
- Statistical Learning of Origin-Specific Statically Optimal Individualized Treatment Rules (2007) (14)
- Robust inference on the average treatment effect using the outcome highly adaptive lasso (2018) (14)
- G-computation estimation for causal inference with complex longitudinal data (2006) (14)
- Estimation of Causal Effects of Community Based Interventions (2010) (14)
- Targeted Covariate-Adjusted Response-Adaptive LASSO-Based Randomized Controlled Trials (2014) (14)
- Adjusting for Nonignorable Drop-Out Using Semiparametric Nonresponse Models: Comment (1999) (14)
- Early childhood linear growth failure in low- and middle-income countries (2020) (14)
- Causes and consequences of child growth failure in low- and middle-income countries (2020) (14)
- Asymptotically optimal model selection method with right censored outcomes (2004) (13)
- Efficient estimation of pathwise differentiable target parameters with the undersmoothed highly adaptive lasso (2019) (13)
- Covariate Adjustment for the Intention-to-Treat Parameter with Empirical Efficiency Maximization (2008) (13)
- An Application of Targeted Maximum Likelihood Estimation to the Meta‐Analysis of Safety Data (2013) (13)
- A General Imputation Methodology for Nonparametric Regression with Censored Data (2005) (13)
- Multiple Testing for Gene Expression Data: An Investigation of Null Distributions with Consequences for the Permutation Test (2003) (13)
- Simulating Longitudinal Data with Causal Inference Applications (2015) (13)
- Direct Effects and Effect Among the Treated (2011) (13)
- Comprar Multiple Testing Procedures with Applications to Genomics | Dudoit, Sandrine | 9780387493169 | Springer (2007) (12)
- The Current Landscape in Biostatistics of Real-World Data and Evidence: Clinical Study Design and Analysis (2021) (12)
- Observational Study and Individualized Antiretroviral Therapy Initiation Rules for Reducing Cancer Incidence in HIV-Infected Patients (2010) (12)
- Parametric-Rate Inference for One-Sided Differentiable Parameters (2016) (12)
- Direct effects of leisure-time physical activity on walking speed (2013) (12)
- Estimating the Effect of a Community-Based Intervention with Two Communities (2013) (12)
- A fundamental measure of treatment effect heterogeneity (2018) (12)
- Finding hotspots: development of an adaptive spatial sampling approach (2020) (12)
- Locally Efficient Estimation With Bivariate Right-Censored Data (2006) (12)
- Cross-Validated Bagged Learning. (2007) (12)
- CURRENT STATUS AND RIGHT-CENSORED DATA STRUCTURES WHEN OBSERVING A MARKER AT THE CENSORING TIME. (2003) (12)
- Selecting Optimal Treatments Based on Predictive Factors (2009) (12)
- Stochastic Treatment Regimes (2018) (12)
- Modified FDR Controlling Procedure for Multi-Stage Analyses (2009) (12)
- Marginal Structural Models with Counterfactual Effect Modifiers (2018) (12)
- Cluster Analysis of Genomic Data with Applications in R (2005) (12)
- Targeted Methods for Biomarker Discovery (2011) (11)
- Propensity-Score-Based Estimators and C-TMLE (2011) (11)
- Finding Quantitative Trait Loci Genes (2011) (11)
- A Nonparametric Super-Efficient Estimator of the Average Treatment Effect (2019) (11)
- Targeted Maximum Likelihood Estimation for Network Data (2015) (11)
- Second-Order Inference for the Mean of a Variable Missing at Random (2015) (11)
- Collaborative targeted maximum likelihood estimation for variable importance measure: Illustration for functional outcome prediction in mild traumatic brain injuries (2018) (11)
- A cross-validation deletion-substitution-addition model selection algorithm: Application to marginal structural models (2010) (11)
- Nonparametric bootstrap inference for the targeted highly adaptive least absolute shrinkage and selection operator (LASSO) estimator (2020) (11)
- Evaluation of adaptive treatment strategies in an observational study where time-varying covariates are not monitored systematically (2018) (11)
- Correcting an estimator of a multivariate monotone function with isotonic regression. (2018) (11)
- DISCUSSION OF: TREELETS-AN ADAPTIVE MULTI-SCALE BASIS FOR SPARSE UNORDERED DATA. (2008) (10)
- The Statistics of Sensitivity Analyses (2015) (10)
- Risk Minimization from Adaptively Collected Data: Guarantees for Supervised and Policy Learning (2021) (10)
- Data-Adaptive Target Parameters (2018) (10)
- Simple Examples of Estimating Causal Effects Using Targeted Maximum Likelihood Estimation (2010) (10)
- Modified EM-estimator of the Bivariate Survival Function (1998) (10)
- Estimating Effects on Rare Outcomes: Knowledge is Power (2013) (10)
- Targeting Learning: Robust Statistics for Reproducible Research (2020) (10)
- Targeted Minimum Loss-Based Estimation of Causal Effects in Right-Censored Survival Data with Time-Dependent Covariates: Warfarin, Stroke, and Death in Atrial Fibrillation (2013) (10)
- A Note on Risk Prediction for Case-Control Studies (2008) (10)
- Balancing Score Adjusted Targeted Minimum Loss-based Estimation (2015) (10)
- Issues of Processing and Multiple Testing of SELDI-TOF MS Proteomic Data (2006) (10)
- Nonparametric inverse probability weighted estimators based on the highly adaptive lasso. (2020) (9)
- A deletion/substitution/addition algorithm for classification neural networks, with applications to biomedical data (2008) (9)
- Drug development strategies for salvage therapy: conflicts and solutions. (2006) (9)
- Two-Stage TMLE to reduce bias and improve efficiency in cluster randomized trials (2021) (9)
- Analyzing Direct Effects in Randomized Trials with Secondary Interventions: An Application to HIV Prevention Trials. (2009) (9)
- The NPMLE for Doubly Censored Current Status Data (2001) (9)
- Causal effects in longitudinal studies: Definition and maximum likelihood estimation (2006) (9)
- Optimal Dynamic Treatments in Resource-Limited Settings (2015) (9)
- Toward Computerized Efficient Estimation in Infinite-Dimensional Models (2016) (9)
- Estimating Causal Parameters in Marginal Structural Models with Unmeasured Confounders Using Instrumental Variables (2002) (8)
- Generalizations of current status data with applications (1995) (8)
- Estimating Function Based Cross-Validation and Learning (2005) (8)
- The Kaplan-Meier Integral in the Presence of Covariates: A Review (2017) (8)
- Targeted Estimation of Binary Variable Importance Measures with Interval-Censored Outcomes (2014) (8)
- Robust variance estimation and inference for causal effect estimation. (2018) (8)
- Multiple Hypothesis Testing (2008) (8)
- A Comparison of Methods to Control Type I Errors in Microarray Studies (2007) (8)
- Targeted Minimum Loss Based Estimation Based on Directly Solving the Efficient Influence Curve Equation (2011) (8)
- Statistical Analysis Plan for SEARCH Phase I: Health Outcomes among Adults. (2018) (8)
- Super Learner Prediction [R package SuperLearner version 2.0-26] (2019) (8)
- A Method to Identify Signicant Clusters in Gene Expression Data (2002) (8)
- Targeted Maximum Likelihood Estimation for Prediction Calibration (2012) (8)
- Statistical Inference for Variable Importance (2006) (8)
- Cross-Validated Bagged Prediction of Survival (2006) (8)
- An identity for the nonparametric maximum likelihood estimator in missing data and biased sampling models (1995) (7)
- Learning From Data: Semiparametric Models Versus Faith-based Inference (2010) (7)
- Identification of the Joint Effect of a Dynamic Treatment Intervention and a Stochastic Monitoring Intervention Under the No Direct Effect Assumption (2017) (7)
- Joint Multiple Testing Procedures for Graphical Model Selection with Applications to Biological Networks (2009) (7)
- Practical considerations for specifying a super learner. (2022) (7)
- Nonparametric Survival Estimation when Death is Reported with Delay (2000) (7)
- Analysis of the effect of occupational exposure to asbestos based on threshold regression modeling of case-control data. (2014) (7)
- Singly and Doubly Censored Current Status Data with Extensions to Multi-State Counting Processes (1997) (7)
- Locally efficient estimation of regression parameters using current status data (2005) (7)
- Comparative Methods for the Analysis of Cluster Randomized Trials (2021) (7)
- Continuous-time targeted minimum loss-based estimation of intervention-specific mean outcomes (2021) (7)
- Improved Small-Sample Estimation of Nonlinear Cross-Validated Prediction Metrics (2019) (7)
- Targeted Maximum Likelihood Estimation for Dynamic Treatment Regimes in Sequentially Randomized Controlled Trials (2012) (7)
- Why Match in Individually and Cluster Randomized Trials (2012) (7)
- Nonparametric causal mediation analysis for stochastic interventional (in)direct effects. (2020) (7)
- History-Adjusted Marginal Structural Models: Time-Varying Effect Modification (2005) (7)
- RCTs with Time-to-Event Outcomes (2011) (7)
- THE INTERNATIONAL JOURNAL OF BIOSTATISTICS (2016) (6)
- Causal inference when counterfactuals depend on the proportion of all subjects exposed (2017) (6)
- Far from MCAR: obtaining population-level estimates of HIV viral suppression (2019) (6)
- Targeted Minimum Loss Based Estimation of a Causal Effect on an Outcome with Known Conditional Bounds (2012) (6)
- haldensify: Highly Adaptive Lasso Conditional Density Estimation (2020) (6)
- Inference with Bivariate Truncated Data (2000) (6)
- Drawing Valid Targeted Inference When Covariate-adjusted Response-adaptive RCT Meets Data-adaptive Loss-based Estimation, With An Application To The LASSO (2015) (6)
- Mining with Inference: Data-Adaptive Target Parameters (2016) (6)
- Data-adaptive smoothing for optimal-rate estimation of possibly non-regular parameters (2017) (6)
- Doubly Robust Censoring Unbiased Transformations (2006) (6)
- Resampling-based multiple testing with asymptotic strong control of type I error (2003) (6)
- Doubly Robust and Efficient Estimation of Marginal Structural Models for the Hazard Function (2016) (6)
- A machine learning-based approach for estimating and testing associations with multivariate outcomes (2018) (6)
- Repeated Measures Semiparametric Regression Using Targeted Maximum Likelihood Methodology with Application to Transcription Factor Activity Discovery (2011) (6)
- Evaluation of Progress Towards the UNAIDS 90-90-90 HIV Care Cascade: A Description of Statistical Methods Used in an Interim Analysis of the Intervention Communities in the SEARCH Study (2017) (6)
- Uniform Consistency of the Highly Adaptive Lasso Estimator of Infinite Dimensional Parameters (2017) (6)
- Sequential causal inference in a single world of connected units (2021) (5)
- Complier Stochastic Direct Effects: Identification and Robust Estimation (2018) (5)
- Estimation of the Bivariate Survival Function with Generalized Bivariate Right Censored Data Structures (2003) (5)
- Transporting stochastic direct and indirect effects to new populations (2019) (5)
- Higher-Order Targeted Loss-Based Estimation (2018) (5)
- Fast rates for empirical risk minimization with cadlag losses with bounded sectional variation norm (2019) (5)
- A New Approach to Hierarchical Data Analysis: Targeted Maximum Likelihood Estimation of Cluster-Based Effects Under Interference (2017) (5)
- The Two-interval Line-segment Problem (1998) (5)
- Locally Efficient Estimation in Censored Data Models: Theory and Examples (2000) (5)
- CV-TMLE for Nonpathwise Differentiable Target Parameters (2018) (5)
- A Novel Targeted Learning Method for Quantitative Trait Loci Mapping (2014) (5)
- Sieve Plateau Variance Estimators: A New Approach to Confidence Interval Estimation for Dependent Data (2014) (5)
- Efficiency of the sieved-NPMLE in CAR-Censored Data Models (1999) (5)
- Nonparametric Bootstrap Inference for the Targeted Highly Adaptive LASSO Estimator. (2019) (5)
- Rate-adaptive model selection over a collection of black-box contextual bandit algorithms (2020) (5)
- Identity for the NPMLE in Censored Data Models (1998) (5)
- Data Adaptive Pathway Testing (2005) (5)
- Bivariate Current Status Data (2002) (5)
- Supervised Distance Matrices (2008) (5)
- Statistics as a Science, Not an Art: The Way to Survive in Data (2015) (5)
- A Note on Targeted Maximum Likelihood and Right Censored Data (2007) (5)
- Discussion of “Deductive derivation and turing‐computerization of semiparametric efficient estimation” by Frangakis et al. (2015) (5)
- Cross-Validated Loss-Based Covariance Matrix Estimator Selection in High Dimensions (2021) (4)
- Empirical Efficiency Maximization (2007) (4)
- A generalization of moderated statistics to data adaptive semiparametric estimation in high-dimensional biology (2017) (4)
- Comparative Genomic Hybridization Array Analysis (2002) (4)
- C-TMLE for Continuous Tuning (2018) (4)
- Effect modification by sex and baseline CD4+ cell count among adults receiving combination antiretroviral therapy in Botswana: results from a clinical trial. (2012) (4)
- Nonparametric Efficient Estimation with Current Status Data and Right-Censored Data Structures When Observing a Marker at the Censoring Time (1998) (4)
- Identity for the NPMLE in Censored Data Models (1998) (4)
- Discussion of Identification, Estimation and Approximation of Risk under Interventions that Depend on the Natural Value of Treatment Using Observational Data, by Jessica Young, Miguel Hernán, and James Robins (2014) (4)
- Targeted Learning of Optimal Individualized Treatment Rules Under Cost Constraints (2018) (4)
- Collaborative targeted inference from continuously indexed nuisance parameter estimators (2018) (4)
- Case Study: Longitudinal HIV Cohort Data (2011) (4)
- Higher Order Targeted Maximum Likelihood Estimation (2021) (4)
- Rose and van der Laan respond to "Some advantages of the relative excess risk due to interaction". (2014) (4)
- Comparison of the Inverse Probability of Treatment Weighted (IPTW) Estimator With a Naïve Estimator in the Analysis of Longitudinal Data With Time-Dependent Confounding: A Simulation Study (2003) (4)
- The optimal dynamic treatment rule superlearner: considerations, performance, and application to criminal justice interventions (2021) (4)
- Finite Sample Inference for Targeted Learning (2017) (4)
- Application of a Variable Importance Measure Method to HIV-1 Sequence Data (2005) (4)
- Adam en Evert. Spanning tussen kerk en homoseksualiteit (2010) (4)
- cvCovEst: Cross-validated covariance matrix estimator selection and evaluation in R (2021) (4)
- Estimating a Survival Distribution with Current Status Data and High-dimensional Covariates (2006) (4)
- Robust and flexible estimation of data-dependent stochastic mediation effects: a proposed method and example in a randomized trial setting (2017) (4)
- Nested Case-Control Risk Score Prediction (2011) (3)
- The Relative Performance of Targeted (2011) (3)
- Rejoinder: A Nonparametric Superefficient Estimator of the Average Treatment Effect (2020) (3)
- Overview of Multiple Testing Procedures (2008) (3)
- Development of an ensemble machine learning prognostic model to predict 60-day risk of major adverse cardiac events in adults with chest pain (2021) (3)
- Single Time Point Interventions in Network-Dependent Data (2018) (3)
- Alternative concepts for hydraulic CVT control (1998) (3)
- Generalized Policy Elimination: an efficient algorithm for Nonparametric Contextual Bandits (2020) (3)
- Early prediction of median survival among a large AIDS surveillance cohort (2007) (3)
- Discussion of Evaluation of Viable Dynamic Treatment Regimes in a Sequentially Randomized Trial of Advanced Prostate Cancer, by Wang et al. 2012. (2012) (3)
- Evaluating the robustness of targeted maximum likelihood estimators via realistic simulations in nutrition intervention trials (2021) (3)
- The nonparametric maximum likelihood estimator in a class of doubly censored current status data models with application to partner studies (2000) (3)
- Individualized Antiretroviral Initiation Rules (2011) (3)
- Data-adaptive Inference of the Optimal Treatment Rule and its Mean Reward. The Masked Bandit (2016) (3)
- LTMLE with Clustering (2018) (3)
- Exploiting nonsystematic covariate monitoring to broaden the scope of evidence about the causal effects of adaptive treatment strategies (2020) (3)
- Computerizing Efficient Estimation of a Pathwise Differentiable Target Parameter (2015) (3)
- RCTs with Time-to-Event Outcomes and Effect Modification Parameters (2011) (3)
- Explaining differential effects of medication for opioid use disorder using a novel approach incorporating mediating variables. (2020) (3)
- Optimization of the Architecture of Neural Networks Using a Deletion/Substitution/Addition Algorithm (2005) (3)
- Defining and Estimating Effects in Cluster Randomized Trials: A Methods Comparison (2021) (3)
- Integrating Causal Modeling and Statistical Estimation (3)
- The Sample Average Treatment Effect (2018) (3)
- Petersen et al. Respond to "Effect Modification by Time-varying Covariates" (2007) (3)
- Super Learning: An Application to Prediction of HIV-1 Drug Susceptibility (2006) (3)
- Data‐adaptive longitudinal model selection in causal inference with collaborative targeted minimum loss‐based estimation (2019) (3)
- A Scalable Supervised Subsemble Prediction Algorithm (2014) (3)
- Online targeted learning for time series (2018) (3)
- Estimating the Effect of Vigorous Physical Activity on Mortality in the Elderly Based on Realistic Individualized Treatment and Intention-to-Treat Rules (2007) (3)
- Targeted Minimum Loss-Based Estimation of a Causal Effect Using Interval-Censored Time-to-Event Data (2012) (3)
- Accounting for heterogeneous treatment effects in the FDA approval process. (2012) (3)
- Big Data, Small Sample (2017) (3)
- Antihypertensive Medication Use and Change in Kidney Function in Elderly Adults: A Marginal Structural Model Analysis (2011) (3)
- Highly Adaptive Lasso (HAL) (2018) (2)
- Robust Estimation of Data-Dependent Causal Effects based on Observing a Single Time-Series (2018) (2)
- Estimating the impact of community-level interventions: The SEARCH Trial and HIV Prevention in Sub-Saharan Africa (2012) (2)
- Conducting Simulations in Causal Inference with Networks-Based Structural Equation Models (2017) (2)
- Causal Inference for a Single Group of Causally-Connected Units Under Stratified Interference (2017) (2)
- Smooth Estimation and Inference with Interval Censored Data (1997) (2)
- Unified Approach for Causal Inference and Censored Data (2003) (2)
- Environmental Tanker Design (1997) (2)
- Adaptive Sequential Design for a Single Time-Series (2021) (2)
- Application of a life cycle assessment approach to quantify the environmental benefits of improved irrigation scheduling in sugarcane. (2012) (2)
- Doubly Robust Ecological Inference (2008) (2)
- Variance stabilization of targeted estimators of causal parameters in high-dimensional settings (2017) (2)
- How and why large-scale agricultural investments induce different socio-economic, food security, and environmental impacts: Evidence from Kenya, Madagascar, and Mozambique [913] (2019) (2)
- Applications of Multiple Testing Procedures : ALL Data (2005) (2)
- Monotone Censored Data (2003) (2)
- E ciency of NPMLE in Nonparametric Missing Data Models (2001) (2)
- Targeted learning: Towards a future informed by real-world evidence (2022) (2)
- Far from MCAR (2020) (2)
- Data-Adaptive Selection of the Propensity Score Truncation Level for Inverse Probability Weighted and Targeted Maximum Likelihood Estimators of Marginal Point Treatment Effects. (2022) (2)
- Testing the Relative Performance of Data Adaptive Prediction Algorithms: A Generalized Test of Conditional Risk Differences (2016) (2)
- Estimation of time-specific intervention effects on continuously distributed time-to-event outcomes by targeted maximum likelihood estimation. (2021) (2)
- Assumption Trade-Offs When Choosing Identification Strategies for Pre-Post Treatment Effect Estimation: An Illustration of a Community-Based Intervention in Madagascar (2015) (2)
- G-computation Estimation of Nonparametric Causal Effects on Time-Dependent Mean Outcomes in Longitudinal Studies (2005) (2)
- One-step TMLE for targeting cause-specific absolute risks and survival curves (2021) (2)
- A Generally Efficient HAL-TMLE (2018) (2)
- Targeted Learning for Causality and Statistical Analysis in Medical Research (2012) (2)
- Mediation Analysis with Time-Varying Mediators and Exposures (2018) (2)
- Collaborative targeted minimum loss inference from continuously indexed nuisance parameter estimators (2018) (2)
- Bounded Continuous Outcomes (2011) (2)
- Independent Case-Control Studies (2011) (2)
- Efficient estimation of modified treatment policy effects based on the generalized propensity score (2022) (2)
- Introduction to TMLE (2011) (2)
- Cross-Validating and Bagging Partitioning Algorithms with Variable Importance (2005) (2)
- Causal Inference for Nested Case-Control Studies using Targeted Maximum Likelihood Estimation (2009) (2)
- Identifying important explanatory variables for time-varying outcomes. (2007) (2)
- Why Match? Matched Case-Control Studies (2011) (2)
- ctmle: an R package for collaborative targeted maximum likelihood estimation (2010) (2)
- Assessing the Causal Effect of Policies: An Approach Based on Stochastic Interventions (2012) (2)
- Web-based Supplementary Materials for "Using Regression Models to Analyze Randomized Trials: Asymptotically Valid Hypothesis Tests Despite Incorrectly Specied Models" (2008) (2)
- HAL Estimator of the Efficient Influence Curve (2018) (1)
- Subset Selection Based on Order Statistics from Logistic Populations (2000) (1)
- methyvim: Targeted, robust, and model-free differential methylation analysis in R (2018) (1)
- Genetic Mapping of Complex Human Traits Using Single Nucleotide Polymorphisms: The ObeLinks Project (2008) (1)
- Efficient targeted learning of heterogeneous treatment effects for multiple subgroups. (2022) (1)
- Why Machine Learning Cannot Ignore Maximum Likelihood Estimation (2021) (1)
- Causal Inference in Longitudinal Network-Dependent Data (2018) (1)
- Nonparametric population average models: deriving the form of approximate population average models estimated using generalized estimating equations (2009) (1)
- Resampling-Based Empirical Bayes multiple Testing Procedures for Controlling Generalized Tail Probability Error Rates (2008) (1)
- A flexible approach for predictive biomarker discovery. (2022) (1)
- Performance and Application of Estimators for the Value of an Optimal Dynamic Treatment Rule (2021) (1)
- Targeted Bayesian Learning (2011) (1)
- Special Issue on Data-Adaptive Statistical Inference (2016) (1)
- Targeted Maximum Likelihood Estimation of Conditional Relative Risk in a Semi-parametric Regression Model (2011) (1)
- Choice of Monitoring Mechanism for Optimal Nonparametric Functional Estimation for Binary Data (2006) (1)
- The Authors Respond. (2020) (1)
- Estimating Function Based Cross-Validation (2006) (1)
- The Two‐interval Line‐segment Problem (1998) (1)
- Targeted learning: From MLE to TMLE (2014) (1)
- Efficient and Ad Hoc Estimation in the Bivariate Censoring Model (1996) (1)
- Targeted Maximum Likelihood Method for Repeated Measures Semiparametric Regression: Discovery for Transcription Factor Activity (2010) (1)
- Personalized online ensemble machine learning with applications for dynamic data streams (2023) (1)
- A Note on K-fold Least Squares Cross-Validation in Density Estimation (2006) (1)
- Optimal Dynamic Treatment Rules (2018) (1)
- The Conditional Super Learner (2019) (1)
- Threshold regression models adapted to case-control studies. Application to lung cancer induced by occupational exposure to asbestos (2014) (1)
- Application of a Multiple Testing Procedure Controlling the Proportion of False Positives to Protein and Bacterial Data (2005) (1)
- HIV-1 Sequence Variation and Viral Replication Capacity (2008) (1)
- One-step Targeted Maximum Likelihood for Time-to-event Outcomes (2018) (1)
- Subset selection from Type-I and Type-II generalized logistic populations (1996) (1)
- Flexible Collaborative Estimation of the Average Causal Effect of a Treatment using the Outcome-Highly-Adaptive Lasso (2018) (1)
- The Selectively Adaptive Lasso (2022) (1)
- Multiple Tests of Association with Biological (2006) (1)
- A Cross-Validated Targeted Maximum Likelihood Estimator for Data-Adaptive Experiment Selection Applied to the Augmentation of RCT Control Arms with External Data (2022) (1)
- Comment on 'Entropy Learning for Dynamic Treatment Regimes' by Binyan Jiang, Rui Song, et al. (2020) (1)
- Targeted Estimation of Variable Importance Measures with Interval-Censored Outcomes (2016) (1)
- Comment on “Automated Versus Do-It-Yourself Methods for Causal Inference: Lessons Learned from a Data Analysis Competition” (2019) (1)
- Threshold Regression Models Adapted to Case-Control Studies, and the Risk of Lung Cancer Due to Occupational Exposure to Asbestos in France (2011) (1)
- Rejoinder to Tan (2008) (1)
- Sequential Super Learning (2018) (1)
- simcausal Package : Technical Details and Extended Examples of Simulations with Complex Longitudinal Data (2017) (1)
- Deep surveys of transcriptional modules with Massive Associative K-biclustering (MAK) (2022) (1)
- Subset selection based on order statistics from logistic populations (2000) (1)
- Kernel Smoothing of the Treatment Effect CDF (2018) (1)
- Chapter 10: Evaluation of longitudinal dynamic regimes with and without marginal structural working models (2015) (1)
- Collaborative Targeted Maximum Likelihood Estimation to Assess Causal Effects in Observational Studies (2018) (1)
- Multiple testing procedures for gene expression data : an investigation of test statistics and null distributions with consequences for the permutation test (1)
- Highly Adaptive Lasso Conditional Density Estimation [R package haldensify version 0.0.6] (2020) (1)
- Adaptive Pair-Matching in the SEARCH Trial and Estimation of the Intervention Effect (2014) (1)
- TMLE in Adaptive Group Sequential Covariate-Adjusted RCTs (2011) (1)
- Targeted maximum likelihood estimation for causal inference in survival and competing risks analysis. (2022) (1)
- Lung cancer survival with herbal medicine and vitamins: Ten-year follow-up. (2010) (1)
- Developing a Targeted Learning-Based Statistical Analysis Plan (2022) (1)
- Reforming Subgroup Analysis (2008) (1)
- Year Paper Super Learner In Prediction (2016) (1)
- Comment (2000) (1)
- Semiparametric Models Versus Faith-based Inference (2010) (0)
- Semi-Parametric Identification and Estimation of Interaction and Effect Modification in Mixed Exposures using Stochastic Interventions (2023) (0)
- – Final schedule – Causal Inference in Statistics and the Quantitative Sciences May 3-8 , 2009 (2009) (0)
- Other for Transport of Energy Nucleoside Triphosphate Uptake and the , One for Net Chlamydia trachomatis Two Nucleotide Transport Proteins in (1998) (0)
- Introduction to R Code Implementation (2011) (0)
- Causal Conference Program 2016 Causal Conference Titles and Abstracts Title: Efficient Inference of Average Treatment Effects in High Dimensions via Approximate Residual Balancing Title: One-step Targeted Mle and the Highly Adaptive Lasso (2016) (0)
- Step-Down Multiple Testing Procedures for Controlling the Family-Wise Error Rate (2008) (0)
- Causal Conference Program 2016 Causal Conference Titles and Abstracts Title: Efficient Inference of Average Treatment Effects in High Dimensions via Approximate Residual Balancing Title: One-step Targeted Mle and the Highly Adaptive Lasso (2016) (0)
- Identity for NPMLE in Missing and Biased Sampling Models. (2001) (0)
- A remote-controllable lifting hook. (1998) (0)
- Struggling with homosexuality (2012) (0)
- cosmoweb: A web application for the supervised detection of conserved motifs in DNA sequences. (2006) (0)
- Targeted Learning of The Probability of Success of An In Vitro Fertilization Program Controlling for Time-dependent Confounders (2012) (0)
- tmleCommunity: A R Package Implementing Target Maximum Likelihood Estimation for Community-level Data (2020) (0)
- The NPMLE in the Uniform Doubly Censored Current Status Data Model (1999) (0)
- Challenges in Estimating the Causal Effect of an Intervention with Pre-Post Data (Part 1): Definition & Identification of the Causal Parameter (2013) (0)
- The hazard and survival functions in the discrete setting (2004) (0)
- Tutorial for Causal Inference (2016) (0)
- History-Adjusted Marginal Structural Models: Optimal Treatment Strategies (2005) (0)
- A Guide to Causal Parameters in Case-Control Designs: Targeted Maximum Likelihood Estimation (2008) (0)
- Modelling long-term carbon and nitrogen dynamics in maize (Zea mays L.) and sugarcane (Saccharum officinarum L.) cropping systems in South Africa By Simphiwe (2019) (0)
- Pod with reduction gear. (2011) (0)
- Moisture transfer in capillary porous materials : choosing the driving potentials (1992) (0)
- SEMIPARAMETRIC BIVARIATE QUANTILE-QUANTILE REGRESSION FOR ANALYZING SEMI-COMPETING RISKS DATA (2007) (0)
- Year Paper tmle : An R Package for Targeted Maximum Likelihood Estimation (2016) (0)
- Simulation Studies: Assessment of Test Statistics Null Distributions (2008) (0)
- Data-Adaptive Estimation in Cluster Randomized Trials (2018) (0)
- Cross-Validated Decision Trees with Targeted Maximum Likelihood Estimation for Nonparametric Causal Mixtures Analysis (2023) (0)
- Evaluating and improving real-world evidence with Targeted Learning (2022) (0)
- Multivariate Right-Censored Multivariate Data (2003) (0)
- Targeting a Simple Statistical Bandit Problem (2018) (0)
- Targeted Methods for Finding Quantitative (2011) (0)
- Book Review: Probabilistic Causality in Longitudinal Studies. Mervi Eerola, Springer‐Verlag, New York, 1994. No. of pages: 131. Price: DM49. ISBN 3‐540‐94367‐6 (1997) (0)
- Comment (2016) (0)
- Application of targeted maximum likelihood estimation technique to assess the impact of prenatal exposure to nitrogen dioxide and ozone on stillbirth in a California cohort study (2016) (0)
- Single-Step Multiple Testing Procedures for Controlling General Type I Error Rates, Θ(Fvn) (2008) (0)
- How to Find the Likelihood of the Data given a Causal Graph? Using the Chain Rule for Factoring the Joint Likelihood of Discrete (0)
- An Empirical Study of Marginal Structural Models for Time-Independent Treatment (2002) (0)
- Targeted Maximum Likelihood Estimation of Community-based Causal Effect of Community-Level Stochastic Interventions (2020) (0)
- Multiple Hypothesis Testing in Microarray Data Analysis (2003) (0)
- Supplementary Figure S1 (2007) (0)
- A nonparametric framework for treatment effect modifier discovery in high dimensions (2023) (0)
- Augmentation Multiple Testing Procedures for Controlling Generalized Tail Probability Error Rates (2008) (0)
- Multi-task Highly Adaptive Lasso (2023) (0)
- A comparison of methods to controlType I Errors in microarraystudies (2007) (0)
- Identification of Regulatory Motifs in DNA Sequences (2003) (0)
- 0 A ug 2 01 7 Finite Sample Inference for Targeted Learning (2018) (0)
- Test Statistics Null Distribution (2008) (0)
- Correction note: “Statistical inference for the mean outcome under a possibly nonunique optimal treatment rule” (2021) (0)
- "Tutorial For Causal Inference" - Chapter 20 of Handbook of Big Data (2016) (0)
- Year Paper Targeted Bayesian Learning (2016) (0)
- Identification of Differentially Expressed and Co-Expressed Genes in High-Throughput Gene Expression Experiments (2008) (0)
- Validating modelled carbon-dioxide emissions against long-term eddy-covariance measurements at the urban neighborhood-scale (2010) (0)
- Cancer pathway analysis, DNA microarrays, and the identification of therapeutic targets (2001) (0)
- Emergency towing system for vessels. (1998) (0)
- ccosmo: A stand-along C program for the supervised detection of conserved motifs in DNA sequences. (2006) (0)
- Marginal Structural Models with (2016) (0)
- Using human serum albumin to perform adductomics in populations of interest (2010) (0)
- FDR Controlling Procedure for Multi-stage Analyses (2008) (0)
- Causality: a special issue of Journal de la Société Française de Statistique (editorial) (2020) (0)
- Series Year Paper Case-Control Current Status Data (2016) (0)
- The influence of herbivorous keystone fish species on the recruitment and growth of corals on artificial reefs (2019) (0)
- One-step TMLE to target cause-specific absolute risks and survival curves Tech report (2021) (0)
- CVtreeMLE: Efficient Estimation of Mixed Exposures using Data Adaptive Decision Trees and Cross-Validated Targeted Maximum Likelihood Estimation in R (2023) (0)
- Survival Point Estimate Prediction in Matched and Non-Matched Case-Control Subsample Designed Studies (2005) (0)
- Statistical search for coherence in functional genomics data (2008) (0)
- Subset selection from generalized logistic populations (1997) (0)
- Measuring Treatment Effects Using (2003) (0)
- Comparative Effectiveness of Adaptive Treatment Strategies (2018) (0)
- Inference in targeted goup sequential covariate-adjusted randomized clinical trials (2020) (0)
- Supervised Distance Matrices: Theory and Applications to Genomics (2008) (0)
- Personalized Online Machine Learning (2021) (0)
- Smooth estimation of a monotone density (2003) (0)
- Oral Abstracts (2012) (0)
- Online Super Learning (2018) (0)
- Developing Methods to Predict Health Outcomes in Trauma Patients (2020) (0)
- Adaptive Therapy for Androgen-lndependent Prostate Cancer : A Randomized Selection Trial of Four Regimens. Commentary (2007) (0)
- 3-3-2011 SIMPLE EXAMPLES OF ESTIMATING CAUSAL EFFECTS USING TARGETED MAXIMUM LIKELIHOOD ESTIMATION (2016) (0)
- Sufficient and insufficient conditions for the stochastic convergence of Ces\`{a}ro means (2020) (0)
- Defining the Model and Parameter (2011) (0)
- Higher Order Spline Highly Adaptive Lasso Estimators of Functional Parameters: Pointwise Asymptotic Normality and Uniform Convergence Rates (2023) (0)
- Examples of Applying RWE Causal-Inference Roadmap to Clinical Studies (2023) (0)
- Discussion on “Adaptive enrichment designs with a continuous biomarker” by Nigel Stallard (2022) (0)
- 0124 PM2.5 and Heart Disease in a Cohort of Aluminium Workers: An Application of Longitudinal Targeted Maximum Likelihood-based Estimation (TMLE) (2014) (0)
- Comparison of Targeted Maximum Likelihood and Shrinkage Estimators of Parameters in Gene Networks (2012) (0)
- The Scalable Highly Adaptive Lasso [R package hal9001 version 0.2.6] (2020) (0)
- 'haldensify': Highly adaptive lasso conditional density estimation in 'R' (2022) (0)
- Methods to Assess the Effect of Dynamic Treatment Regimens Using Electronic Health Records (2020) (0)
- Rachael V. Phillips and Mark J. van der Laan’s contribution to the Discussion of ‘Assumption‐lean inference for generalised linear model parameters’ by Vansteelandt and Dukes (2022) (0)
- Estimators for the value of the optimal dynamic treatment rule with application to criminal justice interventions (2022) (0)
- Morbidity and Health‐National Health Interview Survey, 1987: In Generalized Additive Models (1999) (0)
- Targeted Methods for Finding Quantitative Trait Loci (2011) (0)
- Biostatistics in Africa 2019: A Special Issue of The International Journal of Biostatistics (2019) (0)
- Year Paper Data Adaptive Pathway Testing (2016) (0)
- Beyond the Cox Hazard Ratio: A Targeted Learning Approach to Survival Analysis in a Cardiovascular Outcome Trial Application (2023) (0)
- Methods for Improving Confounding Control in Comparative Effectiveness Research Using Electronic Healthcare Databases (2019) (0)
- Computer-intensive approaches to four topics in biostatistics (2002) (0)
- The potential contribution of Life Cycle Assessment to analyzing the environmental impacts and the sustainability of irrigation and drainage systems (2014) (0)
- Application of a Variable Importance Measure Method (2006) (0)
- Adaptive Sequential Surveillance with Network and Temporal Dependence (2022) (0)
- Research Questions in Data Science (2018) (0)
- Chapter 7 Bounded Continuous Outcomes (0)
- P14.68: Three consecutive pregnancies with Dekaban‐Arima syndrome with variable expression (2004) (0)
- Finding hotspots: development of an adaptive spatial sampling approach (2020) (0)
- 13 Cluster Analysis of Genomic Data (2005) (0)
- Revisiting the Propensity Score’s Central Role: Towards Bridging Balance and Efficiency in the Era of Causal Machine Learning (2022) (0)
- Dispensing with unnecessary assumptions in population genetics analysis (2023) (0)
- Rejoinder to “A Note on Using Regression Models to Analyze Randomized Trials: Asymptotically Valid Hypothesis Tests Despite Incorrectly Specified Models” (2013) (0)
- Statistics, philosophy, and health: the SMAC 2021 webconference (2022) (0)
- tmleLite: A simplified R package for targeted maximum likelihood estimation (2009) (0)
- Nonparametric estimators of the bivariate survival function under random censoring (1997) (0)
- Foundations of TMLE (2011) (0)
- Statistical Applications in Genetics and Molecular Biology (2007) (0)
- Gene Expression Analysis with theParametri Bootstrap (2000) (0)
- Acceleration of time to onset of a disease due to professional exposure. (2013) (0)
- Survival Point Estimate Prediction in Cohorts with Nested Case-Control Study Designs (2004) (0)
- Comment (2012) (0)
- The Authors Respond. (2019) (0)
- Overview of Statistical Estimators using a Simulated Example.docx (2016) (0)
- Optimal Individualized Treatments Under Limited Resources (2018) (0)
- Cross-Sectional Data and Right-Censored Data Combined (2003) (0)
- Response to letters by Michael Lavine and Christopher Tong (2015) (0)
- The causal effect of recent leisure-time physical activity on all-cause mortality among the elderly (2007) (0)
- C-TMLE for Time-to-Event Outcomes (2011) (0)
- Controlling Familywise Error When Rejecting at Most One Null Hypothesis Each From a Sequence of Sub-Families of Null Hypotheses (2017) (0)
- Targeted Maximum Likelihood Estimation [R package tmle version 1.5.0-1] (2020) (0)
- Longitudinal Targeted Maximum Likelihood Estimation [R package ltmle version 1.2-0] (2020) (0)
- Follow-up Data Analyzed With Marginal Structural Models and Propensity Score Methods Lung Cancer Survival With Herbal Medicine and Vitamins in a Whole-Systems Approach : Ten-Year (2011) (0)
- Statistica Sinica Preprint No : SS-2019-0062 Title Comment on ' Entropy Learning for Dynamic Treatment Regimes (2019) (0)
- Targeted Maximum Likelihood Based Estimation for Longitudinal Mediation Analysis (2023) (0)
- Targeted Estimation of L2 Distance Between Densities and its Application to Geo-spatial Data (2019) (0)
- Whole-Systems Approach : Ten-Year Follow-up Data Analyzed With Marginal Structural Models and Colon Cancer Survival With Herbal Medicine and Vitamins Combined With Standard Therapy in a (2011) (0)
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