Potential sensitivity of bias analysis results to incorrect assumptions of nondifferential or differential binary exposure misclassification.

ABSTRACT:

Background

Results of bias analyses for exposure misclassification are dependent on assumptions made during analysis. We describe how adjustment for misclassification is affected by incorrect assumptions about whether sensitivity and specificity are the same (nondifferential) or different (differential) for cases and noncases.

Methods

We adjusted for exposure misclassification using probabilistic bias analysis, under correct and incorrect assumptions about whether exposure misclassification was differential or not. First, we used simulated data sets in which nondifferential and differential misclassification were introduced. Then, we used data on obesity and diabetes from the National Health and Nutrition Examination Survey (NHANES) in which both self-reported (misclassified

SUBMITTER: Johnson CY 

PROVIDER: S-EPMC4477528 | biostudies-literature | 2014 Nov

REPOSITORIES: biostudies-literature