Accounting for biases in survey-based estimates of population attributable fractions.

ABSTRACT: BACKGROUND:This paper discusses best practices for estimating fractions of mortality attributable to health exposures in survey data that are biased by observed confounders and unobserved endogenous selection. Extant research has shown that estimates of population attributable fractions (PAF) from the formula using the proportion of deceased that is exposed (PAFpd) can attend to confounders, whereas the formula using the proportion of the entire sample exposed (PAFpe) is biased by confounders. Research has not explored how PAFpd and PAFpe equations perform when both confounding and selection bias are present. METHODS:We review equations for calculating PAF based on either the proportion of deceased (pd) or the proportion of the entire sample (pe) that receives the exposure. We explore how

SUBMITTER: Masters R 

PROVIDER: S-EPMC6909532 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature