| Literature DB >> 6490307 |
Abstract
The effect of joint misclassification of polytomous risk factors and polytomous covariates in case-control studies upon estimation and power has been examined using computer simulation and mathematical models. It is concluded that non-differential misclassification of covariates may be as important as non-differential misclassification of exposure variables, and that the resultant bias of the relative risk estimate may be either toward or away from the null. It is pointed out that when a confounding variable is misclassified the calculated p value from the particular study will be incorrect and may either be too large or too small depending on the nature of the confounding.Mesh:
Year: 1984 PMID: 6490307 DOI: 10.1093/ije/13.3.366
Source DB: PubMed Journal: Int J Epidemiol ISSN: 0300-5771 Impact factor: 7.196