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 - 1995/7/30
Y1 - 1995/7/30
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 logit and continuation‐ratio logit 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 logit and continuation‐ratio logit 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.
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U2 - 10.1002/sim.4780141405
DO - 10.1002/sim.4780141405
M3 - Article
C2 - 7481191
AN - SCOPUS:0029117490
SN - 0277-6715
VL - 14
SP - 1545
EP - 1552
JO - Statistics in Medicine
JF - Statistics in Medicine
IS - 14
ER -