Inverse probability weights using super learner

Inverse probability weights using super learner

Overview

Description

Through simulations, we show that, in the presence of weight model misspecification in a marginal structural Cox model context, with a rich and diverse set of candidate algorithms, ‘Super Learner’ can generally offer a better alternative to the commonly used logistic regression or statistical learning approaches.

Manuscripts

Presentations

Project Team

Corresponding Author
Mohammad Ehsanul Karim PhD
Collaborator
Robert W. Platt PhD