Exploring regression dilution bias using repeat measurements of 2858 variables in ≤49 000 UK Biobank participants.

ABSTRACT:

Background

Measurement error in exposures and confounders can bias exposure-outcome associations but is rarely considered. We aimed to assess random measurement error of all continuous variables in UK Biobank and explore approaches to mitigate its impact on exposure-outcome associations.

Methods

Random measurement error was assessed using intraclass correlation coefficients (ICCs) for all continuous variables with repeat measures. Regression calibration was used to correct for random error in exposures and confounders, using the associations of red blood cell distribution width (RDW), C-reactive protein (CRP) and 25-hydroxyvitamin D [25(OH)D] with mortality as illustrative examples.

Results

The 2858 continuous variables with repeat measures varied in sample size from

SUBMITTER: Rutter CE 

PROVIDER: S-EPMC10555784 | biostudies-literature | 2023 Oct

REPOSITORIES: biostudies-literature