On the role of marginal confounder prevalence – implications for the high-dimensional propensity score algorithm

On the role of marginal confounder prevalence – implications for the high-dimensional propensity score algorithm

Overview

Description

We apply the law of total probability in conjunction with an established bias formula to derive and illustrate relative bias boundaries with respect to marginal confounder prevalence.

Manuscripts

Presentations

Project Team

Corresponding Author
Tibor Schuster PhD
Collaborator
Robert W. Platt PhD
Collaborator