The "Dry-Run" Analysis: A Method for Evaluating Risk Scores for Confounding Control.

ABSTRACT: A propensity score (PS) model's ability to control confounding can be assessed by evaluating covariate balance across exposure groups after PS adjustment. The optimal strategy for evaluating a disease risk score (DRS) model's ability to control confounding is less clear. DRS models cannot be evaluated through balance checks within the full population, and they are usually assessed through prediction diagnostics and goodness-of-fit tests. A proposed alternative is the "dry-run" analysis, which divides the unexposed population into "pseudo-exposed" and "pseudo-unexposed" groups so that differences on observed covariates resemble differences between the actual exposed and unexposed populations. With no exposure effect separating the pseudo-exposed and pseudo-unexposed groups, a DRS model is e

SUBMITTER: Wyss R 

PROVIDER: S-EPMC5411679 | biostudies-literature | 2017 May

REPOSITORIES: biostudies-literature