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Use of Polytomous Logistic Model in Matched Case‐Control Studies
Author(s) -
Ganguly S. S.,
Nimbalkar U. Naik
Publication year - 1992
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.4710340210
Subject(s) - polytomous rasch model , odds ratio , logistic regression , odds , statistics , econometrics , logit , incidence (geometry) , mathematics , medicine , item response theory , psychometrics , geometry
Binary logistic model has been found useful for estimating odds ratio in case of dichotomous exposure variable under matched case‐control retrospective design. We describe the use of polytomous logistic model for estimating odds ratios when the exposure of prime interests, relative to disease incidence, has more than two levels. An illustrative example is presented and discussed.