Tyler VanderWeele

23 catalog papers. Identity-linked publications and additional name matches are distinguished below.

ORCID: 0000-0002-6112-0239

Department of Epidemiology, Harvard University

Publications

• A common-cause principle for eliminating selection bias in causal estimands through covariate adjustment — The Annals of Statistics 2025 (name-matched, not ORCID-linked)
• Tyler J. VanderWeele's contribution to the Discussion of ‘Vintage Factor Analysis with Varimax Performs Statistical Inference’ by Rohe & Zeng — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2023
• A statistical test to reject the structural interpretation of a latent factor model — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2022
• Sensitivity Analysis for Unmeasured Confounding in Meta-Analyses — Journal of the American Statistical Association 2020
• Instrumental variables as bias amplifiers with general outcome and confounding — Biometrika 2017
• Mediation analysis with time varying exposures and mediators — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2017
• Vaccines, contagion, and social networks — The Annals of Applied Statistics 2017
• Sharp sensitivity bounds for mediation under unmeasured mediator-outcome confounding — Biometrika 2016
• Identification and Estimation of Causal Mechanisms in Clustered Encouragement Designs: Disentangling Bed Nets Using Bayesian Principal Stratification — Journal of the American Statistical Association 2016
• Joint analysis of SNP and gene expression data in genetic association studies of complex diseases — The Annals of Applied Statistics 2014 (name-matched, not ORCID-linked)
• Generalized Cornfield conditions for the risk difference — Biometrika 2014
• On the definition of a confounder — The Annals of Statistics 2013
• Bias attenuation results for nondifferentially mismeasured ordinal and coarsened confounders — Biometrika 2013
• Mediation and Spillover Effects in Group-Randomized Trials: A Case Study of the 4Rs Educational Intervention — Journal of the American Statistical Association 2013
• Semiparametric tests for sufficient cause interaction — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2012
• Directed acyclic graphs with edge-specific bounds — Biometrika 2012
• Inference for additive interaction under exposure misclassification — Biometrika 2012
• General theory for interactions in sufficient cause models with dichotomous exposures — The Annals of Statistics 2012
• Sufficient cause interactions for categorical and ordinal exposures with three levels — Biometrika 2010
• Signed directed acyclic graphs for causal inference — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2010
• Minimal sufficient causation and directed acyclic graphs — The Annals of Statistics 2009 (name-matched, not ORCID-linked)
• Multiply Robust Inference for Statistical Interactions — Journal of the American Statistical Association 2008
• Empirical and counterfactual conditions for sufficient cause interactions — Biometrika 2008