Effect estimation in point-exposure studies with binary outcomes and high-dimensional covariate data

Effect estimation in point-exposure studies with binary outcomes and high-dimensional covariate data

Overview

Description

Using plasmode and Monte-Carlo simulation studies, we evaluates the performance of TMLE compared to that of IPW estimators based on a point-exposure cohort study of the marginal causal effect of post-myocardial infarction statin use on the 1-year risk of all-cause mortality from the Clinical Practice Research Datalink. Near violations of the positivity assumption are investigated in a high-dimensional covariate setting for both methods.

Manuscripts

Presentations

Project Team

Corresponding Author
Robert W. Platt PhD
Collaborator
Kristian Filion PhD
Collaborator
Maria Eberg
Collaborator
Mireille Schnitzer PhD
Collaborator
Tibor Schuster PhD
Collaborator