Visualization tool of variable selection in bias-variance tradeoff for inverse probability weights.

ABSTRACT:

Purpose

Inversed probability weighted (IPW) estimators are commonly used to adjust for time-fixed or time-varying confounders. However, in high-dimensional settings, including all identified confounders may result in unstable weights leading to higher variance. We aimed to develop a visualization tool demonstrating the impact of each confounder on the bias and variance of IPW estimates, as well as the propensity score overlap.

Methods

A SAS macro was developed for this visualization tool and we demonstrate how this tool can be used to identify potentially problematic confounders of the association of statin use after myocardial infarction on one-year mortality in a plasmode simulation study using a cohort of 39,792 patients from the UK (1998-2012).

Results

Through the

SUBMITTER: Yu YH 

PROVIDER: S-EPMC7864095 | biostudies-literature | 2020 Jan

REPOSITORIES: biostudies-literature