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

Fingerprint

Ordinal Data
Matched pairs
Case-control
Odds Ratio
Endometrial Neoplasms
Control Design
Cancer
Logistic Model
Logistic Models
Case-control Data
Conjugated (USP) Estrogens
Estrogen
Chi-square Distribution
Los Angeles
Chi-Square Distribution
Continuation
Test Statistic
Baseline
Dose
Equality

ASJC Scopus subject areas

  • Epidemiology

Cite this

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 journalArticle

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