DIFFERENTIAL RECALL BIAS AND SPURIOUS ASSOCIATIONS IN CASE CONTROL STUDIES/

Authors
Citation
D. Barry, DIFFERENTIAL RECALL BIAS AND SPURIOUS ASSOCIATIONS IN CASE CONTROL STUDIES/, Statistics in medicine, 15(23), 1996, pp. 2603-2616
Citations number
27
Categorie Soggetti
Statistic & Probability","Medicine, Research & Experimental","Public, Environmental & Occupation Heath","Statistic & Probability","Medical Informatics
Journal title
ISSN journal
02776715
Volume
15
Issue
23
Year of publication
1996
Pages
2603 - 2616
Database
ISI
SICI code
0277-6715(1996)15:23<2603:DRBASA>2.0.ZU;2-A
Abstract
Consider a case/control study designed to investigate a possible assoc iation between exposure to a putative risk factor and development of a particular disease. Let E denote the information required to specify a subject's exposure to the risk factor. We examine the effect that er rors in the recorded values of E (which we denote by E) have on infer ences of an association between disease and the risk factor. We concen trate on situations where the errors in recorded exposure are such tha t exposure is underestimated for controls and overestimated for cases. This phenomenon is referred to as differential recall bias and may le ad to spurious inferences of an association between exposure and disea se. We describe how the standard inferential techniques used in the an alysis of data from case/control studies may be adjusted to take accou nt of specified mechanisms whereby E is distorted to produce E Such a djustments may be used to determine the sensitivity of an analysis to the phenomenon of differential recall bias and to quantify the extent of such bias that would be required to overturn the conclusions of the analysis. There remains the matter of judging whether a given distort ion mechanism is reasonable in a particular context. This emphasizes t he need for investigators to take account of differential recall bias in validation studies of exposure assessment techniques. The methodolo gy developed here is applied to a recent major study investigating the possible association between lung cancer and exposure to environmenta l tobacco smoke. The log-odds ratio of 0.23 based on recorded exposure differs significantly from 0 (p < 0.02). However, the association is rendered non-significant by a very modest degree of differential recal l bias. For example, if 3.8 per cent of exposed controls report no exp osure, 3.8 per cent of unexposed cases report exposure, and all other subjects report exposure accurately, the log-odds ratio drops to 0.07 and the corresponding p-value increases to 0.49.