Misclassification of outcome in case-control studies: Methods for sensitivity analysis

Rebecca Gilbert*, Richard M. Martin, Jenny Donovan, J. Athene Lane, Freddie Hamdy, David E. Neal, Chris Metcalfe

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

7 Citations (Scopus)

Abstract

Case-control studies are potentially open to misclassification of disease outcome which may be unrelated to risk factor exposure (non-differential), thus underestimating associations, or related to risk factor exposure (differential), thus causing more serious bias. We conducted a systematic literature review for methods of adjusting for outcome misclassification in case-control studies. We also applied methods to simulated data with known outcome misclassification to assess performance of these methods. Finally, real data from the Prostate Testing for Cancer and Treatment (ProtecT) randomised controlled trial gauged the usefulness of these methods. Adjustment methods range from recalculating cell frequencies to probabilistic sensitivity modelling and Bayesian models, which incorporate uncertainty in sensitivity and specificity estimates. Simulated data indicated that substantial bias in either direction resulted from differential misclassification. More sophisticated methods, incorporating uncertainty into estimates of misclassification, provided appropriately wide confidence intervals for corrected estimates of risk factor-disease association. Method choice depends on whether the objective is to assess if an observed association can be explained by bias, or to provide a 'corrected' estimate for the primary analysis. Accurate estimation of the degree of misclassification is important for the latter; otherwise further bias may be introduced.

Original languageEnglish
Pages (from-to)2377-2393
Number of pages17
JournalStatistical Methods in Medical Research
Volume25
Issue number5
Early online date12 Sep 2014
DOIs
Publication statusPublished - 1 Oct 2016

Structured keywords

  • BTC (Bristol Trials Centre)
  • Centre for Surgical Research

Keywords

  • case-control study
  • misclassification of outcome
  • risk factors for prostate cancer

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