273 citations · 856 across the 22 of their papers we have counts for
4 papers · 1 filter
Simple Sensitivity Analysis for Differential Measurement Error
Tyler J. VanderWeele, Yige Li
Simple sensitivity analysis results are given for differential measurement error of either the exposure or the outcome. In the case of differential measurement error of the outcome…
Outcome-wide longitudinal designs for causal inference: a new template for empirical studies
Tyler J. VanderWeele, Maya B. Mathur, Ying Chen
In this paper we propose a new template for empirical studies intended to assess causal effects: the outcome-wide longitudinal design. The approach is an extension of what is often…
Bounding bias due to selection
Louisa H. Smith, Tyler J. VanderWeele
When epidemiologic studies are conducted in a subset of the population, selection bias can threaten the validity of causal inference. This bias can occur whether or not that select…
Selecting optimal subgroups for treatment using many covariates
Tyler J. VanderWeele, Alex R. Luedtke, Mark J. van der Laan +1
We consider the problem of selecting the optimal subgroup to treat when data on covariates is available from a randomized trial or observational study. We distinguish between four…