Joseph G. Ibrahim
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American biostatistician
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Joseph G. Ibrahimmathematics Degrees
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Mathematics
Joseph G. Ibrahim's Degrees
- PhD Statistics University of North Carolina at Chapel Hill
- Masters Statistics University of North Carolina at Chapel Hill
- Bachelors Mathematics University of North Carolina at Chapel Hill
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(Suggest an Edit or Addition)Joseph G. Ibrahim'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
- Heavy-tailed prior distributions for sequence count data: removing the noise and preserving large differences (2018) (729)
- Bayesian Survival Analysis (2004) (634)
- Power prior distributions for regression models (2000) (614)
- A Pooled Analysis of Eastern Cooperative Oncology Group and Intergroup Trials of Adjuvant High-Dose Interferon for Melanoma (2004) (511)
- Missing-Data Methods for Generalized Linear Models (2005) (475)
- UGT1A1*28 genotype and irinotecan-induced neutropenia: dose matters. (2007) (469)
- A New Bayesian Model For Survival Data With a Surviving Fraction (1999) (465)
- Monte Carlo Methods in Bayesian Computation (2000) (389)
- Missing data methods in longitudinal studies: a review (2009) (361)
- Predictive Model Selection (1995) (355)
- Incomplete Data in Generalized Linear Models (1990) (329)
- Basic concepts and methods for joint models of longitudinal and survival data. (2010) (316)
- Use of historical control data for assessing treatment effects in clinical trials (2014) (297)
- Estimating Cure Rates From Survival Data (2003) (297)
- Missing covariates in generalized linear models when the missing data mechanism is non‐ignorable (1999) (285)
- INK4/ARF Transcript Expression Is Associated with Chromosome 9p21 Variants Linked to Atherosclerosis (2009) (269)
- Missing responses in generalised linear mixed models when the missing data mechanism is nonignorable (2001) (224)
- Effect of cytotoxic chemotherapy on markers of molecular age in patients with breast cancer. (2014) (204)
- A Bayesian semiparametric joint hierarchical model for longitudinal and survival data. (2003) (199)
- A semiparametric Bayesian approach to the random effects model. (1998) (197)
- ZINBA integrates local covariates with DNA-seq data to identify broad and narrow regions of enrichment, even within amplified genomic regions (2011) (193)
- A Flexible B‐Spline Model for Multiple Longitudinal Biomarkers and Survival (2005) (188)
- Genotype-guided tamoxifen dosing increases active metabolite exposure in women with reduced CYP2D6 metabolism: a multicenter study. (2011) (183)
- The power prior: theory and applications (2015) (180)
- Joint Models for Multivariate Longitudinal and Multivariate Survival Data (2006) (175)
- Fixed and Random Effects Selection in Mixed Effects Models (2011) (153)
- Cure rate models: A unified approach (2005) (153)
- On Bayesian Analysis of Generalized Linear Models Using Jeffreys's Prior (1991) (152)
- Bayesian Models for Gene Expression With DNA Microarray Data (2002) (152)
- Missing data in clinical studies: issues and methods. (2012) (148)
- Semiparametric Transformation Models for Survival Data With a Cure Fraction (2006) (139)
- A conditional model for incomplete covariates in parametric regression models (1996) (138)
- Handbook of survival analysis (2014) (138)
- Monte Carlo EM for Missing Covariates in Parametric Regression Models (1999) (137)
- Joint modeling of survival and longitudinal non‐survival data: current methods and issues. Report of the DIA Bayesian joint modeling working group (2015) (128)
- BAYESIAN METHODS FOR JOINT MODELING OF LONGITUDINAL AND SURVIVAL DATA WITH APPLICATIONS TO CANCER VACCINE TRIALS (2004) (127)
- Model Selection Criteria for Missing-Data Problems Using the EM Algorithm (2008) (125)
- A Weighted Estimating Equation for Missing Covariate Data with Properties Similar to Maximum Likelihood (1999) (120)
- In Vitro Hepatic Metabolism Explains Higher Clearance of Voriconazole in Children versus Adults: Role of CYP2C19 and Flavin-Containing Monooxygenase 3 (2010) (119)
- Bayesian Semiparametric Models for Survival Data with a Cure Fraction (2001) (114)
- Perturbation selection and influence measures in local influence analysis (2007) (113)
- Prior elicitation, variable selection and Bayesian computation for logistic regression models (1999) (113)
- A Predictive Approach to the Analysis of Designed Experiments (1994) (107)
- REC, Drosophila MCM8, Drives Formation of Meiotic Crossovers (2005) (99)
- A semi-parametric Bayesian approach to generalized linear mixed models. (1998) (98)
- Bayesian methods for generalized linear models with covariates missing at random (2002) (95)
- Postdiagnosis Change in Bodyweight and Survival After Breast Cancer Diagnosis (2012) (95)
- Bayesian Inference for Multivariate Survival Data with a Cure Fraction (2002) (95)
- Parameter Estimation in Longitudinal Studies with Outcome‐Dependent Follow‐Up (2002) (92)
- Likelihood-Based Methods for Missing Covariates in the Cox Proportional Hazards Model (2001) (91)
- Bayesian Approaches to Joint Cure‐Rate and Longitudinal Models with Applications to Cancer Vaccine Trials (2003) (88)
- Statistical Analysis of Diffusion Tensors in Diffusion-Weighted Magnetic Resonance Imaging Data (2007) (87)
- Maximum Likelihood Methods for Cure Rate Models with Missing Covariates (2001) (85)
- Genomewide Multiple-Loci Mapping in Experimental Crosses by Iterative Adaptive Penalized Regression (2010) (85)
- Power prior distributions for generalized linear models (2000) (83)
- The relationship between the power prior and hierarchical models (2006) (83)
- On Optimality Properties of the Power Prior (2003) (82)
- Intrinsic Regression Models for Positive-Definite Matrices With Applications to Diffusion Tensor Imaging (2009) (80)
- Conjugate priors for generalized linear models (2003) (80)
- Criterion-based methods for Bayesian model assessment (2001) (78)
- Maximum Likelihood Methods for Nonignorable Missing Responses and Covariates in Random Effects Models (2003) (78)
- Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease (2016) (78)
- Bayesian variable selection for proportional hazards models (1999) (76)
- The Treatment and Outcome of Cancer Patients with Thromboses on Central Venous Catheters (2000) (75)
- A Bayesian justification of Cox's partial likelihood (2003) (75)
- Estimating equations with incomplete categorical covariates in the Cox model. (1998) (74)
- Bayesian Model Averaging With Applications to Benchmark Dose Estimation for Arsenic in Drinking Water (2006) (74)
- Use of the Probability Integral Transformation to Fit Nonlinear Mixed-Effects Models With Nonnormal Random Effects (2006) (73)
- Using auxiliary data for parameter estimation with non‐ignorably missing outcomes (2001) (73)
- Parameter estimation from incomplete data in binomial regression when the missing data mechanism is nonignorable. (1996) (72)
- Large-scale GWAS reveals genetic architecture of brain white matter microstructure and genetic overlap with cognitive and mental health traits (n=17,706) (2019) (71)
- Multiscale adaptive regression models for neuroimaging data (2011) (70)
- A Note on Permutation Tests for Variance Components in Multilevel Generalized Linear Mixed Models (2007) (70)
- GEE with Gaussian Estimation of the Correlations When Data Are Incomplete (2000) (68)
- Using Historical Controls to Adjust for Covariates in Trend Tests for Binary Data (1998) (67)
- Bayesian Generalized Low Rank Regression Models for Neuroimaging Phenotypes and Genetic Markers (2014) (64)
- Regression Models for Identifying Noise Sources in Magnetic Resonance Images (2009) (63)
- Defective cell cycle checkpoint functions in melanoma are associated with altered patterns of gene expression. (2008) (63)
- Post-diagnosis physical activity and survival after breast cancer diagnosis: the Long Island Breast Cancer Study (2014) (62)
- Regression models on Riemannian symmetric spaces (2017) (60)
- Bayesian Design of Noninferiority Trials for Medical Devices Using Historical Data (2011) (60)
- VARIABLE SELECTION FOR REGRESSION MODELS WITH MISSING DATA. (2010) (58)
- A new joint model for longitudinal and survival data with a cure fraction (2004) (55)
- Non‐ignorable missing covariate data in survival analysis: a case‐study of an International Breast Cancer Study Group trial (2004) (54)
- Sample size and power determination in joint modeling of longitudinal and survival data (2011) (54)
- Using the EM-algorithm for survival data with incomplete categorical covariates (1996) (54)
- An Estimate of the Odds Ratio That Always Exists (2002) (53)
- Bayesian Case Influence Diagnostics for Survival Models (2009) (53)
- n–3 Fatty acids, hypertension and risk of cognitive decline among older adults in the Atherosclerosis Risk in Communities (ARIC) study (2008) (53)
- An extension of the Wilcoxon rank sum test for complex sample survey data (2012) (52)
- Bayesian clinical trial design using historical data that inform the treatment effect. (2019) (51)
- Variable Selection in Regression Mixture Modeling for the Discovery of Gene Regulatory Networks (2007) (51)
- A Statistical Analysis of Brain Morphology Using Wild Bootstrapping (2007) (50)
- Structured Measurement Error in Nutritional Epidemiology (2007) (50)
- Theory and Inference for Regression Models with Missing Responses and Covariates. (2008) (50)
- Bayesian influence analysis: a geometric approach. (2011) (50)
- The Bayesian Covariance Lasso. (2013) (49)
- Prior elicitation for model selection and estimation in generalized linear mixed models (2003) (48)
- The Large Sample Distribution of the Weighted Log Rank Statistic Under General Local Alternatives (1997) (48)
- Bayesian Analysis for Generalized Linear Models with Nonignorably Missing Covariates (2005) (48)
- JMFit: A SAS Macro for Joint Models of Longitudinal and Survival Data. (2016) (47)
- Bayesian Meta‐Experimental Design: Evaluating Cardiovascular Risk in New Antidiabetic Therapies to Treat Type 2 Diabetes (2012) (46)
- Bayesian Variable Selection and Computation for Generalized Linear Models with Conjugate Priors. (2008) (46)
- Patterns of cell cycle checkpoint deregulation associated with intrinsic molecular subtypes of human breast cancer cells (2017) (45)
- Bayesian Lasso for Semiparametric Structural Equation Models (2012) (44)
- Amplification of thymidylate synthetase in metastatic colorectal cancer patients pretreated with 5-fluorouracil-based chemotherapy. (2010) (44)
- Non-ignorable missing covariates in generalized linear models. (1999) (44)
- Tamoxifen Dose Escalation in Patients With Diminished CYP2D6 Activity Normalizes Endoxifen Concentrations Without Increasing Toxicity. (2016) (44)
- Gamma frailty transformation models for multivariate survival times. (2009) (43)
- Properties and Implementation of Jeffreys’s Prior in Binomial Regression Models (2008) (43)
- A generalized linear mixed model for longitudinal binary data with a marginal logit link function. (2011) (43)
- A General Class of Bayesian Survival Models with Zero and Nonzero Cure Fractions (2005) (43)
- FLCRM: Functional linear cox regression model (2018) (43)
- Intrinsic Regression Models for Manifold-Valued Data. (2009) (42)
- Predictive specification of prior model probabilities in variable selection (1996) (41)
- A partial correlation coefficient and coefficient of determination for multivariate normal repeated measures data (2001) (41)
- An Estimating Equations Approach for Modelling Kappa (2000) (41)
- Semiparametric Models for Missing Covariate and Response Data in Regression Models (2006) (40)
- Abasic sites preferentially form at regions undergoing DNA replication (2010) (39)
- In vivo assessment of the metabolic activity of CYP2D6 diplotypes and alleles. (2015) (38)
- Assessing model fit in joint models of longitudinal and survival data with applications to cancer clinical trials (2014) (38)
- A Class of Bayesian Shared Gamma Frailty Models with Multivariate Failure Time Data (2005) (37)
- Joint generalized estimating equations for multivariate longitudinal binary outcomes with missing data: an application to acquired immune deficiency syndrome data (2009) (37)
- A community-based multicenter trial of pharmacokinetically guided 5-fluorouracil dosing for personalized colorectal cancer therapy. (2014) (37)
- Heritability of Regional Brain Volumes in Large-Scale Neuroimaging and Genetic Studies. (2018) (36)
- Consumption of trans-fatty acid and its association with colorectal adenomas. (2008) (36)
- Bayesian Influence Measures for Joint Models for Longitudinal and Survival Data (2012) (36)
- Maximum likelihood estimation in generalized linear models with multiple covariates subject to detection limits (2011) (35)
- trans-Fatty acid consumption and its association with distal colorectal cancer in the North Carolina Colon Cancer Study II (2009) (35)
- LIKELIHOOD-BASED INFERENCE WITH NONIGNORABLE MISSING RESPONSES AND COVARIATES IN MODELS FOR DISCRETE LONGITUDINAL DATA (2006) (33)
- Using a Box–Cox transformation in the analysis of longitudinal data with incomplete responses (2000) (32)
- An Information Matrix Prior for Bayesian Analysis in Generalized Linear Models with High Dimensional Data. (2009) (32)
- Joint modeling of longitudinal and survival data with missing and left‐censored time‐varying covariates (2014) (32)
- Heterogeneity in phase I clinical trials: prior elicitation and computation using the continual reassessment method (2001) (32)
- Bayesian approaches to joint longitudinal and survival models accommodating both zero and nonzero cure fractions (2007) (31)
- Current Methods for Recurrent Events Data With Dependent Termination (2008) (31)
- Bayesian Methods for Missing Covariates in Cure Rate Models (2002) (31)
- Nonparametric expression analysis using inferential replicate counts (2019) (30)
- Estimating treatment effects with treatment switching via semicompeting risks models: an application to a colorectal cancer study. (2012) (30)
- Pseudo‐likelihood methods for longitudinal binary data with non‐ignorable missing responses and covariates (2006) (30)
- Bayesian criterion based model assessment for categorical data (2004) (30)
- Bayesian Variable Selection (2000) (30)
- Timeless functions independently of the Tim-Tipin complex to promote sister chromatid cohesion in normal human fibroblasts (2011) (29)
- Variable Selection in the Cox Regression Model with Covariates Missing at Random (2010) (28)
- The effects of nonignorable missing data on label-free mass spectrometry proteomics experiments. (2018) (28)
- On Bayesian Inference for Proportional Hazards Models Using Noninformative Priors (2000) (28)
- Bias in Estimating Association Parameters for Longitudinal Binary Responses with Drop‐Outs (2001) (28)
- Local Influence for Generalized Linear Models with Missing Covariates (2009) (27)
- PERTURBATION AND SCALED COOK'S DISTANCE. (2012) (27)
- Bayesian cure rate models for malignant melanoma: a case‐study of Eastern Cooperative Oncology Group trial E1690 (2002) (26)
- BFLCRM: A BAYESIAN FUNCTIONAL LINEAR COX REGRESSION MODEL FOR PREDICTING TIME TO CONVERSION TO ALZHEIMER'S DISEASE. (2015) (26)
- Bayesian Model Assessment in Joint Modeling of Longitudinal and Survival Data With Applications to Cancer Clinical Trials (2017) (25)
- A Semiparametric Mixture Model for Analyzing Clustered Competing Risks Data (2005) (25)
- Bayesian gamma frailty models for survival data with semi-competing risks and treatment switching (2014) (25)
- Single-nucleotide polymorphisms are associated with cognitive decline at Alzheimer's disease conversion within mild cognitive impairment patients (2017) (25)
- Proximity Model for Expression Quantitative Trait Loci (eQTL) Detection (2007) (24)
- A Bayesian compartmental model for the evaluation of 1,3‐butadiene metabolism (2003) (24)
- BAYESIAN VARIABLE SELECTION FOR TIME SERIES COUNT DATA (2000) (24)
- Diagnostic measures for empirical likelihood of general estimating equations (2008) (24)
- Use of historical controls in time-adjusted trend tests for carcinogenicity. (1996) (24)
- Maximum likelihood inference for the Cox regression model with applications to missing covariates (2009) (23)
- Intrinsic Regression Models for Manifold-Valued Data (2009) (23)
- Estimation with correlated censored survival data with missing covariates. (2000) (23)
- Longitudinal design for phase I clinical trials using the continual reassessment method. (2000) (23)
- A weighted estimating equation for linear regression with missing covariate data (2002) (22)
- Posterior propriety and computation for the Cox regression model with applications to missing covariates (2006) (22)
- Separation of intra-S checkpoint protein contributions to DNA replication fork protection and genomic stability in normal human fibroblasts (2013) (22)
- Time course investigation of PPARalpha- and Kupffer cell-dependent effects of WY-14,643 in mouse liver using microarray gene expression. (2007) (22)
- Inference for a Class of Transformed Hazards Models (2005) (22)
- Bayesian Error‐in‐Variable Survival Model for the Analysis of GeneChip Arrays (2005) (21)
- Loss of lung function among sheet metal workers: ten-year study. (1997) (21)
- Semiparametric Bayesian Methods for Random Effects Models (1998) (21)
- Mapping the Genetic Variation of Regional Brain Volumes as Explained by All Common SNPs from the ADNI Study (2013) (21)
- Likelihood Methods for Incomplete Longitudinal Binary Responses with Incomplete Categorical Covariates (1999) (21)
- Wavelet Thresholding with Bayesian False Discovery Rate Control (2005) (21)
- A Bayesian hierarchical model for network meta‐analysis of multiple diagnostic tests (2018) (21)
- A prognostic signature of defective p53‐dependent G1 checkpoint function in melanoma cell lines (2012) (20)
- Estimation in regression models for longitudinal binary data with outcome-dependent follow-up. (2005) (20)
- Bayesian probability of success for clinical trials using historical data (2015) (20)
- Predictive model selection for repeated measures random effects models using Bayes factors. (1997) (20)
- Propriety of the Posterior Distribution and Existence of the MLE for Regression Models With Covariates Missing at Random (2004) (20)
- Bayesian adaptive basket trial design using model averaging. (2019) (19)
- Bayesian predictive simultaneous variable and transformation selection in the linear model (1998) (19)
- Identifiability of PBPK models with applications to dimethylarsinic acid exposure (2015) (19)
- Bayesian longitudinal low-rank regression models for imaging genetic data from longitudinal studies (2017) (19)
- Bayesian variable selection for the Cox regression model with missing covariates (2008) (19)
- Associations Between Trans Fatty Acid Consumption and Colon Cancer Among Whites and African Americans in the North Carolina Colon Cancer Study I (2009) (18)
- Bayesian local influence for survival models (2011) (18)
- Frailty Models with Missing Covariates (2002) (18)
- Bias correction for the proportional odds logistic regression model with application to a study of surgical complications (2013) (18)
- Measurement error adjustment in essential fatty acid intake from a food frequency questionnaire: alternative approaches and methods (2007) (18)
- A protective estimator for longitudinal binary data subject to non‐ignorable non‐monotone missingness (2005) (18)
- Maximum likelihood estimation in random effects cure rate models with nonignorable missing covariates. (2002) (18)
- A Note on the Validity of Statistical Bootstrapping for Estimating the Uncertainty of Tensor Parameters in Diffusion Tensor Images (2008) (17)
- Bayesian methods in clinical trials: a Bayesian analysis of ECOG trials E1684 and E1690 (2012) (17)
- Diagnostic Measures for Generalized Linear Models with Missing Covariates (2009) (17)
- Bayesian Sensitivity Analysis of Statistical Models with Missing Data. (2014) (17)
- A Bayesian framework for intent-to-treat analysis with missing data. (1998) (17)
- A temporal hidden Markov regression model for the analysis of gene regulatory networks. (2006) (16)
- Bayesian sequential meta‐analysis design in evaluating cardiovascular risk in a new antidiabetic drug development program (2014) (16)
- A practical Bayesian adaptive design incorporating data from historical controls (2018) (16)
- Bayesian design of superiority clinical trials for recurrent events data with applications to bleeding and transfusion events in myelodyplastic syndrome (2014) (16)
- A simple method for estimating a regression model for κ between a pair of raters (2001) (16)
- On the estimation of disease prevalence by latent class models for screening studies using two screening tests with categorical disease status verified in test positives only (2010) (16)
- MARM: Multiscale Adaptive Regression Models for Neuroimaging Data (2009) (16)
- TPRM: TENSOR PARTITION REGRESSION MODELS WITH APPLICATIONS IN IMAGING BIOMARKER DETECTION. (2015) (15)
- Development of DNA Damage Response Signaling Biomarkers using Automated, Quantitative Image Analysis (2014) (15)
- A Bayesian proportional hazards regression model with non‐ignorably missing time‐varying covariates (2010) (15)
- Identification of Differentially Expressed Genes in High‐Density Oligonucleotide Arrays Accounting for the Quantification Limits of the Technology (2003) (15)
- Bayesian transformation hazard models (2006) (15)
- MRLocus: Identifying causal genes mediating a trait through Bayesian estimation of allelic heterogeneity (2020) (15)
- Incomplete covariates in the Cox model with applications to biological marker data (2001) (14)
- Projection Regression Models for Multivariate Imaging Phenotype (2012) (14)
- Statistical Analysis of Diffusion Tensors in Diffusion-weighted Magnetic Resonance Image Data ( Technical Details ) ∗ (2007) (14)
- Bayesian Predictive Inference for Time Series Count Data (2000) (14)
- SPReM: Sparse Projection Regression Model For High-Dimensional Linear Regression (2015) (14)
- On properties of predictive priors in linear models (1997) (13)
- Estimating time-varying effects for overdispersed recurrent events data with treatment switching. (2013) (13)
- Bayesian inference for multivariate meta‐analysis Box–Cox transformation models for individual patient data with applications to evaluation of cholesterol‐lowering drugs (2013) (13)
- Nested Case-Control and Case-Cohort Studies (2016) (13)
- Bayesian frailty models based on box-cox transformed hazards (2005) (13)
- Comprehensive assessment of cytochromes P450 and transporter genetics with endoxifen concentration during tamoxifen treatment (2017) (12)
- A Bayesian Hidden Markov Model for Motif Discovery Through Joint Modeling of Genomic Sequence and ChIP‐Chip Data (2009) (12)
- Cure Rate Models (2001) (12)
- A prognostic signature of G₂ checkpoint function in melanoma cell lines (2013) (12)
- Drosophila MCM 8 , Drives Formation of Meiotic Crossovers (2005) (12)
- The Use of Bayesian Hierarchical Models for Adaptive Randomization in Biomarker-Driven Phase II Studies (2015) (12)
- Bayesian Methods for a Three–State Model for Rodent Carcinogenicity Studies (2002) (11)
- A degrees-of-freedom approximation for a t-statistic with heterogeneous variance (1999) (11)
- Bayesian Case Influence Measures for Statistical Models With Missing Data (2012) (11)
- ICeD-T Provides Accurate Estimates of Immune Cell Abundance in Tumor Samples by Allowing for Aberrant Gene Expression Patterns (2018) (11)
- Sieve Maximum Likelihood Estimation for Regression Models With Covariates Missing at Random (2007) (11)
- Predictive variable selection for the multivariate linear model. (1997) (11)
- Modeling Between-Study Heterogeneity for Improved Replicability in Gene Signature Selection and Clinical Prediction (2017) (11)
- A note on the relationships between multiple imputation, maximum likelihood and fully Bayesian methods for missing responses in linear regression models. (2014) (11)
- Bayesian Design of Non-Inferiority Trials for Medical Devices Using Historical Data (2011) (11)
- Estimation and inference for case-control studies with multiple non-gold standard exposure assessments: with an occupational health application. (2009) (11)
- Cyclobutane Pyrimidine Dimer Density as a Predictive Biomarker of the Biological Effects of Ultraviolet Radiation in Normal Human Fibroblast (2014) (10)
- Joint Models for Longitudinal and Survival Data (2001) (10)
- Responses to discussants of ‘Joint modeling of survival and longitudinal non‐survival data: current methods and issues. report of the DIA Bayesian joint modeling working group’ (2015) (10)
- Multivariate Recurrent Events in the Presence of Multivariate Informative Censoring with Applications to Bleeding and Transfusion Events in Myelodysplastic Syndrome (2014) (10)
- Bayesian Inference for Multivariate Meta-Regression With a Partially Observed Within-Study Sample Covariance Matrix (2015) (10)
- Group sequential designs for cure rate models with early stopping in favour of the null hypothesis. (2000) (10)
- PRIOR DISTRIBUTIONS AND BAYESIAN COMPUTATION FOR PROPORTIONAL HAZARDS MODELS (2016) (10)
- Joint generalized estimating equations for multivariate longitudinal binary outcomes with missing data: An application to AIDS data. (2009) (10)
- Effect of grass sublingual tablet immunotherapy is similar in children and adults: A Bayesian approach to design pediatric sublingual immunotherapy trials (2017) (9)
- On inference of control-based imputation for analysis of repeated binary outcomes with missing data (2017) (9)
- Diagnostic measures for the Cox regression model with missing covariates (2015) (9)
- Control‐based imputation for sensitivity analyses in informative censoring for recurrent event data (2017) (9)
- On propriety of the posterior distribution and existence of the maximum likelihood estimator for regression models with covariates missing at random (2004) (9)
- The TBX21 transcription factor T-1993C polymorphism is associated with decreased IFN-γ and IL-4 production by primary human lymphocytes. (2012) (9)
- Missing Covariate Data (2001) (8)
- Biomarker threshold adaptive designs for survival endpoints (2018) (8)
- A Bivariate Pseudolikelihood for Incomplete Longitudinal Binary Data with Nonignorable Nonmonotone Missingness (2011) (8)
- A weighted combination of pseudo‐likelihood estimators for longitudinal binary data subject to non‐ignorable non‐monotone missingness (2010) (8)
- Bayesian Spatial Transformation Models with Applications in Neuroimaging Data (2013) (8)
- Sample Size Determination in Shared Frailty Models for Multivariate Time-to-Event Data (2014) (8)
- Bayesian Sensitivity Analysis of a Nonlinear Dynamic Factor Analysis Model with Nonparametric Prior and Possible Nonignorable Missingness (2017) (8)
- Flexible Stopping Boundaries When Changing Primary Endpoints After Unblinded Interim Analyses (2014) (8)
- Association between herpes simplex virus type 1 and Helicobacter pylori in US adolescents. (2006) (8)
- Bayesian design of a survival trial with a cured fraction using historical data (2018) (7)
- Generalized linear models with a coarsened covariate (2004) (7)
- DNA Damage Checkpoint Responses in the S Phase of Synchronized Diploid Human Fibroblasts (2014) (7)
- A Bayesian Hierarchical Model for the Analysis of Affymetrix Arrays (2004) (7)
- Bayesian Transformation Models for Multivariate Survival Data (2014) (7)
- Forecasting the number of future disabled elderly using Markovian and mathematical models. (1991) (7)
- Patients' Understanding of How Genotype Variation Affects Benefits of Tamoxifen Therapy for Breast Cancer (2014) (7)
- Functional‐Mixed Effects Models for Candidate Genetic Mapping in Imaging Genetic Studies (2014) (6)
- Variable Selection by Bayesian Adaptive Lasso and Iterative Adaptive Lasso, with Application for Genome-wide Multiple Loci Mapping (2009) (6)
- TWO-STAGE EMPIRICAL LIKELIHOOD FOR LONGITUDINAL NEUROIMAGING DATA. (2011) (6)
- Global identifiability of latent class models with applications to diagnostic test accuracy studies: A Gröbner basis approach (2019) (6)
- On the normalized power prior (2020) (6)
- Some Statistical Strategies for DAE-seq Data Analysis: Variable Selection and Modeling Dependencies Among Observations (2014) (6)
- Markov Chain Monte Carlo Sampling (2000) (6)
- A new class of mixture models for differential gene expression in DNA microarray data. (2008) (6)
- An Automated High-throughput Array Microscope for Cancer Cell Mechanics (2016) (6)
- Quantifying the average of the time-varying hazard ratio via a class of transformations (2015) (6)
- Change‐point models to estimate the limit of detection (2013) (6)
- Bayesian inference for survival data with a surviving fraction (2003) (6)
- POST-DIAGNOSIS CHANGE IN BODYWEIGHT AND SURVIVAL AFTER BREAST CANCER DIAGNOSIS (2013) (6)
- Partial least squares for functional joint models with applications to the Alzheimer's disease neuroimaging initiative study (2020) (6)
- MILFM: Multiple index latent factor model based on high‐dimensional features (2018) (6)
- Models for survival data from cancer prevention studies (2002) (6)
- Bayesian Hierarchical Modeling for Time Course Microarray Experiments (2007) (6)
- Default Bayes factors for generalized linear models (2000) (6)
- Bayesian modeling and inference for clinical trials with partial retrieved data following dropout (2013) (5)
- Bayesian Analysis of the Cox Model (2013) (5)
- Effective intra‐S checkpoint responses to UVC in primary human melanocytes and melanoma cell lines (2016) (5)
- Rejoinder on: Missing data methods in longitudinal studies: a review (2009) (5)
- Protective estimator for linear regression with nonignorably missing Gaussian outcomes (2004) (5)
- Does increasing the daily tamoxifen dose in patients with diminished CYP2D6 activity increase toxicity (2014) (5)
- Hypothesis testing for two‐stage designs with over or under enrollment (2015) (5)
- Testing for bias in weighted estimating equations. (2001) (5)
- Functional Linear Regression Models for Nonignorable Missing Scalar Responses. (2018) (5)
- A hierarchical model for incomplete alignments in phylogenetic inference (2009) (5)
- Computing Bayesian Credible and HPD Intervals (2000) (5)
- RADTI: regression analyses of diffusion tensor images (2009) (5)
- Efficient methods for signal detection from correlated adverse events in clinical trials (2019) (4)
- A marginal estimate for the overall treatment effect on a survival outcome within the joint modeling framework (2020) (4)
- Meta‐analysis methods and models with applications in evaluation of cholesterol‐lowering drugs (2012) (4)
- Joint modelling of longitudinal and survival data in the presence of competing risks with applications to prostate cancer data (2020) (4)
- LCN: a random graph mixture model for community detection in functional brain networks. (2017) (4)
- A hierarchical testing approach for detecting safety signals in clinical trials (2020) (4)
- Bayesian Modeling and Inference for Nonignorably Missing Longitudinal Binary Response Data with Applications to HIV Prevention Trials. (2018) (4)
- Hard thresholding regression (2018) (4)
- Using missing data methods in genetic studies with missing mutation status. (1999) (4)
- Estimating Ratios of Normalizing Constants (2000) (4)
- Intrinsic Regression Models for Medial Representation of Subcortical Structures (2012) (4)
- Semiparametric regression analysis for composite endpoints subject to componentwise censoring (2018) (4)
- Is activation of the intra-S checkpoint in human fibroblasts an important factor in protection against UV-induced mutagenesis? (2013) (4)
- Bayesian Case-deletion Model Complexity and Information Criterion. (2014) (4)
- Mapping Tumor-Specific Expression QTLs in Impure Tumor Samples (2017) (4)
- SR-HARDI: Spatially Regularizing High Angular Resolution Diffusion Imaging (2016) (3)
- Bayesian design of clinical trials using joint models for longitudinal and time-to-event data. (2020) (3)
- Application of pharmacokinetic (PK)-guided 5-fluorouracil (FU) in clinical practice. (2013) (3)
- Bayesian Model Selection in Survival Analysis (2005) (3)
- A Bivariate Pseudo-Likelihood for Incomplete Longitudinal Binary Data with Nonignorable Non-monotone Missingness (2011) (3)
- Statistical strategies to improve the efficiency of molecular studies of colorectal cancer prognosis (2008) (3)
- LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures (2023) (3)
- Approach to the Random Effects Model (2016) (3)
- Large-scale neuroimaging and genetic study reveals genetic architecture of brain white matter microstructure (2018) (3)
- Network meta‐regression for ordinal outcomes: Applications in comparing Crohn's disease treatments (2020) (3)
- Statistical design of noninferiority multiple region clinical trials to assess global and consistent treatment effects (2017) (3)
- Modeling event count data in the presence of informative dropout with application to bleeding and transfusion events in myelodysplastic syndrome (2017) (3)
- Prior Elicitation for Semiparametric Bayesian Survival Analysis (1998) (3)
- Bayesian multivariate skew meta-regression models for individual patient data (2018) (3)
- Pseudo-likelihood Methods for the Analysis of Longitudinal Binary Data Subject to Nonignorable Non-monotone Missingness (2021) (3)
- A Bayesian Joint model for Longitudinal DAS28 Scores and Competing Risk Informative Drop Out in a Rheumatoid Arthritis Clinical Trial (2018) (2)
- Semiparametric frailty models for zero‐inflated event count data in the presence of informative dropout (2019) (2)
- Quantifying time-varying cause-specific hazard and subdistribution hazard ratios with competing risks data (2019) (2)
- A new Bayesian joint model for longitudinal count data with many zeros, intermittent missingness, and dropout with applications to HIV prevention trials (2019) (2)
- Comment: Incomplete Data in Clinical Studies: Analysis, Sensitivity, and Sensitivity Analysis (2009) (2)
- Estimating Marginal Posterior Densities (2000) (2)
- The Midpoint Mixed Model with a Missingness Mechanism (M5): A Likelihood-Based Framework for Quantification of Mass Spectrometry Proteomics Data (Preprint) (2015) (2)
- Bayesian Approaches to Cure Rate Models (2005) (2)
- Homology cluster differential expression analysis for interspecies mRNA-Seq experiments (2015) (2)
- FLCRM: Functional Linear Cox Regression Models (2014) (2)
- Bayesian inference for network meta-regression using multivariate random effects with applications to cholesterol lowering drugs. (2019) (2)
- A STATISTICAL MODEL TO ASSESS (ALLELE-SPECIFIC) ASSOCIATIONS BETWEEN GENE EXPRESSION AND EPIGENETIC FEATURES USING SEQUENCING DATA. (2016) (2)
- Assessment of Fit in Longitudinal Data for Joint Models with Applications to Cancer Clinical Trials (2015) (2)
- A Counterfactual P-Value Approach for Benefit-Risk Assessment in Clinical Trials (2015) (2)
- Weighted functional linear Cox regression model (2021) (2)
- Bayesian design of biosimilars clinical programs involving multiple therapeutic indications (2019) (2)
- Simulating Clustered Survival Data with Proportional Hazards Margins (2009) (2)
- Controlling false discovery proportion in identification of drug‐related adverse events from multiple system organ classes (2019) (2)
- A Semiparametric Bayesian Approach for Estimating the Gene Expression Distribution (2010) (1)
- THE EFFECTS OF NON-IGNORABLE MISSING DATA ON LABEL-FREE MASS SPECTROMETRY PROTEOMICS (2018) (1)
- Prediction of future risk of any and higher-grade prostate cancer based on the PLCO and SELECT trials (2022) (1)
- HFPRM: Hierarchical Functional Principal Regression Model for Diffusion Tensor Image Bundle Statistics (2017) (1)
- Model-Based Feature Selection and Clustering of Rna-Seq Data for Unsupervised Subtype Discovery (2020) (1)
- Handling Non-ignorably Missing Features in Electronic Health Records Data Using Importance-Weighted Autoencoders (2021) (1)
- Monte Carlo Methods for Constrained Parameter Problems (2000) (1)
- Assessing temporal agreement between central and local progression‐free survival times (2015) (1)
- BayesPPD: An R Package for Bayesian Sample Size Determination Using the Power and Normalized Power Prior for Generalized Linear Models (2021) (1)
- Heritability of regional brain volumes in large-scale neuroimaging and genetic studies (2017) (1)
- Rejoinder: LESA: Longitudinal Elastic Shape Analysis of Brain Subcortical Structures (2022) (1)
- Differential expression analysis with global network adjustment (2013) (1)
- Reply to Comments (2016) (1)
- Pattern mixture models for clinical validation of biomarkers in the presence of missing data (2017) (1)
- A BAYESIAN FUNCTIONAL LINEAR COX REGRESSION MODEL (BFLCRM) FOR PREDICTING TIME TO CONVERSION TO ALZHEIMER’S DISEASE∗ (2014) (1)
- Abstract P1-03-02: CYP2D6 intermediate metabolizers includes patient groups with distinct metabolic activity (2015) (1)
- In Silico Construction of a Protein Interaction Landscape for Nucleotide Excision Repair (2009) (1)
- The scale transformed power prior for use with historical data from a different outcome model (2021) (1)
- Penalized logistic regression using functional connectivity as covariates with an application to mild cognitive impairment (2020) (1)
- Differential expression analysis with global network adjustment (2013) (1)
- Bayesian clinical trial design using Markov models with applications to autoimmune disease. (2017) (1)
- Efficient Multiple Imputation for Sensitivity Analysis of Recurrent Events Data with Informative Censoring (2020) (1)
- Joint analysis of single‐cell and bulk tissue sequencing data to infer intratumor heterogeneity (2019) (1)
- BayesCTDesign: An R Package for Bayesian Trial Design Using Historical Control Data (2021) (1)
- Bayesian Analysis of Survival Data with Semi-competing Risks and Treatment Switching (2013) (0)
- Mixture survival trees for cancer risk classification (2022) (0)
- Bayesian adaptive design for concurrent trials involving biologically related diseases. (2020) (0)
- Breast Cancer Tamoxifen Dose Escalation in Patients With Diminished CYP 2 D 6 Activity Normalizes Endoxifen Concentrations Without Increasing Toxicity (2016) (0)
- Efficient Detection and Classification of Epigenomic Changes Under Multiple Conditions (2019) (0)
- Assessing Similarity to Existing Drugs to Decide Whether to Continue Drug Development (2012) (0)
- A Powerful Global Test Statistic for Functional Statistical Inference (2019) (0)
- Bayesian Model Selection (2016) (0)
- A Power Prior Approach for Leveraging External Longitudinal and Competing Risks Survival Data Within the Joint Modeling Framework (2021) (0)
- Corrigendum to: Heritability of regional brain volumes in large-scale neuroimaging and genetic studies. (2021) (0)
- Hard Thresholded Regression Via Linear Programming (2014) (0)
- Bayesian network meta‐regression hierarchical models using heavy‐tailed multivariate random effects with covariate‐dependent variances (2021) (0)
- Improved detection of epigenomic marks with mixed‐effects hidden Markov models (2019) (0)
- Review of the book Monte Carlo Methods in Bayesian Computation (2001) (0)
- metapack: An R Package for Bayesian Meta-Analysis and Network Meta-Analysis with a Unified Formula Interface (2022) (0)
- Bayesian multiregional clinical trials using model averaging. (2021) (0)
- Bayesian design of clinical trials using joint models for recurrent and terminating events. (2022) (0)
- Deeply-Learned Generalized Linear Models with Missing Data (2022) (0)
- Bayesian Multivariate Probability of Success Using Historical Data with Strict Control of Family-wise Error Rate. (2020) (0)
- Group Sequential Designs for Survival Data (2016) (0)
- Estimation with clustered censored survival data with missing covariates in the marginal Cox model (2007) (0)
- Estimating Treatment Effects for Recurrent Events in the Presence of Rescue Medications: An Application to the Immune Thrombocytopenia Study (2016) (0)
- Synthesizing studies for comparing different treatment sequences in clinical trials (2022) (0)
- Bayesian multivariate probability of success using historical data with type I error rate control. (2021) (0)
- Estimating Cell Type Composition using Isoform Expression One Gene at a Time. (2021) (0)
- Web-based Supplementary Materials for Variable Selection in the Cox Model with Covariates Missing at Random by Garcia, Ibrahim, and Zhu (2008) (0)
- Optimal Priors for the Discounting Parameter of the Normalized Power Prior (2023) (0)
- Epigrahmm – Epigenomic r-based analysis with hidden Markov models (2020) (0)
- Bayesian gamma frailty models for survival data with semi-competing risks and treatment switching (2013) (0)
- Robustness of Proportional Hazards Regression (2016) (0)
- STATISTICAL METHODS FOR MASS SPECTROMETRY PROTEOMICS EXPERIMENTS (2016) (0)
- Supplementary Document of “ Perturbation and Scaled Cook ’ s Distances ” (2012) (0)
- Unsupervised Imputation of Non-ignorably Missing Data Using Importance-Weighted Autoencoders (2021) (0)
- Bayesian Approaches for Comparing Nonnested Models (2000) (0)
- The Practice of Bayesian Analysis. S. French and J. Q. Smith (eds), Wiley, New York, 1997. No. of pages: ix+284. Price: £29.99. ISBN 0‐340‐66240‐9 (1999) (0)
- Design and Monitoring of Randomized Clinical Trials (2001) (0)
- Identifiability of PBPK models with applications to dimethylarsinic acid exposure (2015) (0)
- Bayesian design of multi-regional clinical trials with time-to-event endpoints. (2023) (0)
- Discussion of “Quantifying and using expert opinion for variable-selection problems in regression”☆ (1996) (0)
- Rejoinder: Bayesian local influence for survival models (2011) (0)
- Abstract P5-12-06: Comprehensive assessment of the effect of genetic polymorphisms in drug metabolizing enzymes and transporters on tamoxifen activation to endoxifen (2016) (0)
- Bayesian flexible hierarchical skew heavy-tailed multivariate meta regression models for individual patient data with applications. (2020) (0)
- Book Reviews (2012) (0)
- Bayesian Meta-Experimental Design for Evaluating Cardiovascular Risk (2014) (0)
- A Bayesian approach to study design and analysis with type I error rate control for response variables of mixed types. (2023) (0)
- A hierarchical prior for generalized linear models based on predictions for the mean response. (2021) (0)
- Estimating Treatment Effects for Recurrent Events in the Presence of Rescue Medications: An Application to the Immune Thrombocytopenia Study (2018) (0)
- Rejoinder (2007) (0)
- Bayesian Sensitivity Analysis of a Nonlinear Dynamic Factor Analysis Model with Nonparametric Prior and Possible Nonignorable Missingness (2017) (0)
- Patterns of cell cycle checkpoint deregulation associated with intrinsic molecular subtypes of human breast cancer cells (2017) (0)
- DREAM Community. Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial (2016) (0)
- Bayesian generalized linear low rank regression models for the detection of vaccine-adverse event associations. (2023) (0)
- Inferring latent heterogeneity using many feature variables supervised by survival outcome (2021) (0)
- Comment (2007) (0)
- Partial Least Squares for Functional Joint Models (2019) (0)
- LEAP: The latent exchangeability prior for borrowing information from historical data (2023) (0)
- Basic Monte Carlo Methods for Estimating Posterior Quantities (2000) (0)
- Quantifying the average of the time-varying hazard ratio via a class of transformations (2014) (0)
- Book Reviews (2000) (0)
- Defective cell cycle checkpoint response to DNA double strand breaks is associated with altered patterns of gene expression (2006) (0)
- , 5-Fluorouracil Dosing for Personalized Colorectal Cancer Therapy A Community-Based Multicenter Trial of Pharmacokinetically Guided (2014) (0)
- New C‐indices for assessing importance of longitudinal biomarkers in fitting competing risks survival data in the presence of partially masked causes (2023) (0)
- Bayesian Design of Clinical Trials Using Joint Cure Rate Models for Longitudinal and Time-to-Event Data (2022) (0)
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