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

S. S. Ganguly, U. V. Naik-Nimbalkar

Research output: Contribution to journalArticle

5 Citations (Scopus)

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 languageEnglish
Pages (from-to)1545-1552
Number of pages8
JournalStatistics in Medicine
Volume14
Issue number14
Publication statusPublished - 1995

ASJC Scopus subject areas

  • Epidemiology

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