Use of Polytomous Logistic Model in Matched Case‐Control Studies

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.