Epidemiologic analyses with error-prone exposures: review of current practice and recommendations.

ABSTRACT:

Purpose

Variables in observational studies are commonly subject to measurement error, but the impact of such errors is frequently ignored. As part of the STRengthening Analytical Thinking for Observational Studies Initiative, a task group on measurement error and misclassification seeks to describe the current practice for acknowledging and addressing measurement error.

Methods

Task group on measurement error and misclassification conducted a literature survey of four types of research studies that are typically impacted by exposure measurement error: (1) dietary intake cohort studies, (2) dietary intake population surveys, (3) physical activity cohort studies, and (4) air pollution cohort studies.

Results

The survey revealed that while researchers were generally awar

SUBMITTER: Shaw PA 

PROVIDER: S-EPMC6734186 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature