Sensitivity analysis of selection bias: a graphical display by bias-correction index.

ABSTRACT:

Background

In observational studies, how the magnitude of potential selection bias in a sensitivity analysis can be quantified is rarely discussed. The purpose of this study was to develop a sensitivity analysis strategy by using the bias-correction index (BCI) approach for quantifying the influence and direction of selection bias.

Methods

We used a BCI, a function of selection probabilities conditional on outcome and covariates, with different selection bias scenarios in a logistic regression setting. A bias-correction sensitivity plot was illustrated to analyze the associations between proctoscopy examination and sociodemographic variables obtained using the data from the Taiwan National Health Interview Survey (NHIS) and of a subset of individuals who consented to having

SUBMITTER: Chung PC 

PROVIDER: S-EPMC10657564 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature