Regression calibration of self-reported mobile phone use to optimize quantitative risk estimation in the COSMOS study.

ABSTRACT: The Cohort Study of Mobile Phone Use and Health (COSMOS) has repeatedly collected self-reported and operator-recorded data on mobile phone use. Assessing health effects using self-reported information is prone to measurement error, but operator data were available prospectively for only part of the study population and did not cover past mobile phone use. To optimize the available data and reduce bias, we evaluated different statistical approaches for constructing mobile phone exposure histories within COSMOS. We evaluated and compared the performance of 4 regression calibration (RC) methods (simple, direct, inverse, and generalized additive model for location, shape, and scale), complete-case analysis, and multiple imputation in a simulation study with a binary health outcome. We used sel

SUBMITTER: Reedijk M 

PROVIDER: S-EPMC11458186 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature