Premium
A New Approach to Estimation of Relative Risks Due to Two or More Risk Factors Under Multiple Matching in Case‐Control Studies
Author(s) -
Ejigou Ayenew
Publication year - 1990
Publication title -
biometrical journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.108
H-Index - 63
eISSN - 1521-4036
pISSN - 0323-3847
DOI - 10.1002/bimj.4710320516
Subject(s) - logistic regression , statistics , odds , matching (statistics) , homogeneity (statistics) , odds ratio , mathematics , econometrics , regression analysis
The analysis of case‐control data using logistic regression involves making some critical model assumptions. In the analysis of matched data for which the values of the matching variable(s) are unavailable, use of logistic regression presupposes that odds ratios are homogeneous over the levels of the matching variable (s); this is done since logistic regression cannot, at present, provide a way of testing for the homogeneity of odds ratios. In our model, it is possible, as in logistic regression, to estimate odds ratios, check the multiplicativity of effects, or test for the significance of association. In addition, and unlike logistic regression, our model enables one to test for the homogeneity of the odds ratios over the levels of the matching variable(s) even when explicit information is not available on the matching variable(s).