Marloes Maathuis
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Statistician
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Marloes Maathuismathematics Degrees
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Mathematics
Marloes Maathuis's Degrees
- PhD Statistics University of Amsterdam
- Masters Mathematics University of Amsterdam
- Bachelors Mathematics University of Amsterdam
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Why Is Marloes Maathuis Influential?
(Suggest an Edit or Addition)According to Wikipedia, Marloes Henriette Maathuis is a Dutch statistician known for her work on causal inference using graphical models, particularly in high-dimensional data from applications in biology and epidemiology. She is a professor of statistics at ETH Zurich in Switzerland.
Marloes Maathuis'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
- Causal Inference Using Graphical Models with the R Package pcalg (2012) (545)
- Order-independent constraint-based causal structure learning (2012) (431)
- Learning high-dimensional directed acyclic graphs with latent and selection variables (2011) (340)
- Estimating high-dimensional intervention effects from observational data (2008) (327)
- Predicting causal effects in large-scale systems from observational data (2010) (252)
- From hype to reality: data science enabling personalized medicine (2018) (203)
- Structure Learning in Graphical Modeling (2016) (183)
- Causal Structure Learning (2017) (140)
- Variable selection in high-dimensional linear models: partially faithful distributions and the PC-simple algorithm (2009) (109)
- Handbook of Graphical Models (2018) (101)
- Complete Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs (2016) (100)
- High-dimensional consistency in score-based and hybrid structure learning (2015) (99)
- Promises, Pitfalls, and Basic Guidelines for Applying Machine Learning Classifiers to Psychiatric Imaging Data, with Autism as an Example (2016) (94)
- Causal stability ranking (2011) (73)
- Current status data with competing risks: Consistency and rates of convergence of the MLE (2006) (70)
- Estimating the effect of joint interventions from observational data in sparse high-dimensional settings (2014) (66)
- A combined statistical approach and ground movement model for improving taxi time estimations at airports (2013) (60)
- Graphical criteria for efficient total effect estimation via adjustment in causal linear models (2019) (57)
- Asymptotic optimality of the Westfall--Young permutation procedure for multiple testing under dependence (2011) (57)
- The causal effect of switching to second-line ART in programmes without access to routine viral load monitoring (2012) (54)
- A Complete Generalized Adjustment Criterion (2015) (49)
- Understanding human functioning using graphical models (2010) (49)
- CURRENT STATUS DATA WITH COMPETING RISKS: LIMITING DISTRIBUTION OF THE MLE. (2006) (48)
- Estimation and worldwide monitoring of the effective reproductive number of SARS-CoV-2 (2020) (41)
- Reduction Algorithm for the NPMLE for the Distribution Function of Bivariate Interval-Censored Data (2005) (41)
- Interpreting and Using CPDAGs With Background Knowledge (2017) (37)
- On efficient adjustment in causal graphs (2020) (36)
- Nonparametric estimation for current status data with competing risks (2007) (35)
- A Review of Some Recent Advances in Causal Inference (2015) (31)
- Nonparametric inference for competing risks current status data with continuous, discrete or grouped observation times. (2009) (27)
- A generalized backdoor criterion (2013) (26)
- Robust causal structure learning with some hidden variables (2017) (25)
- From Probability to Statistics and Back: High-Dimensional Models and Processes: A Festschrift in Honor of Jon A. Wellner (2013) (21)
- Inference in High-Dimensional Graphical Models (2018) (21)
- Learning high-dimensional DAGs with latent and selection variables (Abstract) (2011) (18)
- Gaussian Graphical Models (2018) (18)
- Inconsistency of the MLE for the Joint Distribution of Interval‐Censored Survival Times and Continuous Marks (2005) (17)
- Distributional Equivalence and Structure Learning for Bow-free Acyclic Path Diagrams (2015) (17)
- A modification of the PC algorithm yielding order-independent skeletons (2012) (16)
- Nonparametric maximum likelihood estimation for bivariate censored data (2003) (14)
- Diagnostic serial interval as a novel indicator for contact tracing effectiveness exemplified with the SARS-CoV-2/COVID-19 outbreak in South Korea (2020) (14)
- Nonparametric Estimation of the Joint Distribution of a Survival Time Subject to Interval Censoring and a Continuous Mark Variable (2007) (13)
- Structure Learning of Linear Gaussian Structural Equation Models with Weak Edges (2017) (12)
- Socio‐behavioural characteristics and HIV: findings from a graphical modelling analysis of 29 sub‐Saharan African countries (2019) (11)
- Loss to follow-up correction increased mortality estimates in HIV-positive people on antiretroviral therapy in Mozambique (2020) (11)
- Structure Learning with Bow-free Acyclic Path Diagrams (2015) (11)
- Pathogenicity, characterization and comparative virulence of Rhizoctonia spp. from insect-galled roots of Lepidium draba in Europe (2010) (11)
- Search for Causal Models (2018) (8)
- GGM knockoff filter: False discovery rate control for Gaussian graphical models (2019) (8)
- Quantifying identifiability in independent component analysis (2014) (8)
- A Generalized Back-door Criterion 1 (2015) (8)
- Causal Concepts and Graphical Models (2018) (7)
- An Overview of the pcalg Package for R (2018) (7)
- Identification in Graphical Causal Models (2018) (7)
- Estimation and Inference of Extremal Quantile Treatment Effects for Heavy-Tailed Distributions (2021) (6)
- Sequential Monte Carlo Methods (2018) (6)
- Nodewise Knockoffs: False Discovery Rate Control for Gaussian Graphical Models (2019) (5)
- Learning Directed Acyclic Graphs with Hidden Variables via Latent Gaussian Graphical Model Selection (2017) (5)
- Conditional Independence and Basic Markov Properties (2018) (4)
- Markov Properties for Mixed Graphical Models (2018) (3)
- Understanding consistency in hybrid causal structure learning (2015) (3)
- Bayesian Inference in Graphical Gaussian Models (2018) (2)
- Clinical onset serial interval and diagnostic serial interval of SARS-CoV-2/COVID-19 in South Korea (2020) (2)
- Survival analysis for interval censored data Part I (2007) (2)
- The importance of timely contact tracing — A simulation study (2021) (1)
- Comprehensive Statistical Exploration of Prognostic (Bio-)Markers for Responses to Immune Checkpoint Inhibitor in Patients with Non-Small Cell Lung Cancer (2021) (1)
- Evaluation of Causal Structure Learning Algorithms via Risk Estimation (2020) (1)
- PatchClampStudies on RootCell Vacuoles ofa Salt- Tolerant anda Salt-Sensitive Plantago Species1 Regulation ofChannel Activity bySaltStress (1990) (1)
- Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part II (2020) (1)
- Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part I (2020) (1)
- Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2019, Würzburg, Germany, September 16–20, 2019, Proceedings, Part III (2020) (1)
- Discussion of the paper by Piet Groeneboom: Nonparametric (smoothed) likelihood and integral equations (2013) (0)
- UvA-DARE (Digital Academic Repository) Stochastic Activation Actor Critic Methods Stochastic Activation Actor Critic Methods ∗ (2019) (0)
- Feature selection for sleep staging using cardiorespiratory and movement signals (2019) (0)
- Graphical models and causality, part 3 (2014) (0)
- Statistical estimation with censored data (2008) (0)
- Profiling Compliers in Instrumental Variables Designs (2021) (0)
- MAP Estimation: Linear Programming Relaxation and Message-Passing Algorithms (2018) (0)
- OPTIMALITY OF THE WESTFALL – YOUNG PERMUTATION PROCEDURE 3 see also Blanchard and Roquain [ 4 ] for FDR control under dependence (2012) (0)
- estimateR: An R package to estimate and monitor the effective reproductive number (2022) (0)
- Causal structure learning and inference in high dimensional systems (2013) (0)
- Learning gene regulatory networks: Instability of constraint-based causal structure learning methods (2013) (0)
- Nonparametric Graphical Models (2018) (0)
- Graphical Models in Molecular Systems Biology (2018) (0)
- Algorithms and Data Structures for Exact Computation of Marginals (2018) (0)
- Submitted to the Annals of Statistics HIGH-DIMENSIONAL CONSISTENCY IN SCORE-BASED AND HYBRID STRUCTURE LEARNING By (2017) (0)
- Diagnostic Serial Interval as an Indicator for Effectiveness of Contact Tracing in the COVID-19 Pandemic - A Simulation Study (2021) (0)
- Neighborhood Selection Methods (2018) (0)
- Approximate Methods for Calculating Marginals and Likelihoods (2018) (0)
- Graphical tools for selecting accurate and valid conditional instrumental sets (2022) (0)
- Latent Tree Models (2018) (0)
- 22P Comprehensive statistical analysis of predictive markers to immune checkpoint inhibitors in patients with non-small cell lung cancer (2021) (0)
- Causal inference in high-dimensional systems based on observational data (2012) (0)
- Discrete Graphical Models and Their Parameterization (2018) (0)
- Causal effects in high-dimensional systems from observational data (2012) (0)
- Graphical Models in Genetics, Genomics, and Metagenomics (2018) (0)
- Algebraic Aspects of Conditional Independence and Graphical Models (2018) (0)
- On-line Breath Metabolomics with Ambient High-Resolution Mass Spectrometry (2019) (0)
- The difference in acquisition strategies of acquirers in the bankingsector and their abnormal returns pre-, mid-, and post-crisis: evidence from the world (2017) (0)
- Prior information enhances tactile representation in primary somatosensory cortex (2023) (0)
- Simultaneous false discovery proportion bounds via knockoffs and closed testing (2022) (0)
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