TY - JOUR

T1 - Analysis of ordinal data in a study of endometrial cancer under a matched pairs case-control design

AU - Ganguly, S. S.

AU - Naik-Nimbalkar, U. V.

PY - 1995

Y1 - 1995

N2 - While estimating odds ratios (ORs) in the context of dose levels of conjugated oestrogen exposure and development of endometrial cancer, the categories formed by the levels of the exposure are ordinal in nature. In the literature, the binary logistic model is used for estimating OR for each category relative to the baseline category. We describe the use of two ordinal logistic models, the cumulative legit and continuation-ratio legit models, to estimate the ORs for the matched pairs case-control data set of the Los Angeles endometrial cancer study. A test for equality of the cumulative ORs across the exposure levels is proposed. The test statistic follows asymptotically the chi-square distribution.

AB - While estimating odds ratios (ORs) in the context of dose levels of conjugated oestrogen exposure and development of endometrial cancer, the categories formed by the levels of the exposure are ordinal in nature. In the literature, the binary logistic model is used for estimating OR for each category relative to the baseline category. We describe the use of two ordinal logistic models, the cumulative legit and continuation-ratio legit models, to estimate the ORs for the matched pairs case-control data set of the Los Angeles endometrial cancer study. A test for equality of the cumulative ORs across the exposure levels is proposed. The test statistic follows asymptotically the chi-square distribution.

UR - http://www.scopus.com/inward/record.url?scp=0029117490&partnerID=8YFLogxK

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M3 - Article

C2 - 7481191

AN - SCOPUS:0029117490

VL - 14

SP - 1545

EP - 1552

JO - Statistics in Medicine

JF - Statistics in Medicine

SN - 0277-6715

IS - 14

ER -