Open AccessPotential Sensitivity of Bias Analysis Results to Incorrect Assumptions of Nondifferential or Differential Binary Exposure Misclassification
Author(s) -
Candice Y. Johnson,
W. Dana Flanders,
Matthew Strickland,
Margaret A. Honein,
Penelope P. Howards
Publication year - 2014
Publication title -
epidemiology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.901
H-Index - 173
eISSN - 1531-5487
pISSN - 1044-3983
DOI - 10.1097/ede.0000000000000166
Subject(s) - sensitivity (control systems) , differential (mechanical device) , binary number , statistics , mathematics , physics , thermodynamics , engineering , electronic engineering , arithmetic
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.