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Main Title New Approach to Estimation of Relative Risks Due to Two or More Risk Factors under Multiple Matching in Case-Control Studies.
Author Ejigou., A. ;
CORP Author Addis Ababa Univ. (Ethiopia). Dept. of Statistics.;Health Effects Research Lab., Research Triangle Park, NC.
Publisher c1990
Year Published 1990
Report Number EPA-R812483; EPA/600/J-90/536;
Stock Number PB91-231241
Additional Subjects Case-control studies ; Epidemiology ; Biostatistics ; Multivariate analysis ; Regression analysis ; Mathematical models ; Risk ; Odds ratio ; Reprints ;
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NTIS  PB91-231241 Some EPA libraries have a fiche copy filed under the call number shown. 07/26/2022
Collation 14p
Abstract 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 variables are unavailable, use of logistic regression presupposes that odds ratios are homogeneous over the levels of the matching variables; this is done since logistic regression cannot, at present, provide a way of testing for the homogeneity of odds ratios. In the 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, the model enables one to test for the homogeneity of the odds ratios over the levels of the matching variables even, when explicit information is not available on the matching variables.
Supplementary Notes Pub. in Biometric Jnl., v32 n5 p621-632 Apr 90. Sponsored by Health Effects Research Lab., Research Triangle Park, NC.
NTIS Title Notes Journal article.
Title Annotations Reprint: New Approach to Estimation of Relative Risks Due to Two or More Risk Factors under Multiple Matching in Case-Control Studies.
Category Codes 57U
NTIS Prices PC A03/MF A01
Primary Description 600/10
Document Type NT
Cataloging Source NTIS/MT
Control Number 128229497
Origin NTIS
Type CAT