Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 1545-1552 |
| Number of pages | 8 |
| Journal | Statistics in Medicine |
| Volume | 14 |
| Issue number | 14 |
| Publication status | Published - 1995 |
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ASJC Scopus subject areas
- Epidemiology
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Analysis of ordinal data in a study of endometrial cancer under a matched pairs case-control design. / Ganguly, S. S.; Naik-Nimbalkar, U. V.
In: Statistics in Medicine, Vol. 14, No. 14, 1995, p. 1545-1552.Research output: Contribution to journal › Article
}
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.
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UR - http://www.scopus.com/inward/citedby.url?scp=0029117490&partnerID=8YFLogxK
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 -