Assessing the effectiveness of empirical calibration under different bias scenarios.

ABSTRACT:

Background

Estimations of causal effects from observational data are subject to various sources of bias. One method for adjusting for the residual biases in the estimation of treatment effects is through the use of negative control outcomes, which are outcomes not believed to be affected by the treatment of interest. The empirical calibration procedure is a technique that uses negative control outcomes to calibrate p-values. An extension of this technique calibrates the coverage of the 95% confidence interval of a treatment effect estimate by using negative control outcomes as well as positive control outcomes, which are outcomes for which the treatment of interest has known effects. Although empirical calibration has been used in several large observational studies, there is no sy

SUBMITTER: Hwang H 

PROVIDER: S-EPMC9327283 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature