Use of Polytomous Logistic Model in Matched Case‐Control Studies

S. S. Ganguly; U. Naik Nimbalkar

doi:10.1002/bimj.4710340210

Use of Polytomous Logistic Model in Matched Case‐Control Studies

S. S. Ganguly^*, U. Naik Nimbalkar

^*Corresponding author for this work

Family Medicine & Public Health ( FAMCO )

Research output: Contribution to journal › Article › peer-review

3 Citations (Scopus)

Abstract

Binary logistic model has been found useful for estimating odds ratio in case of dichotomous exposure variable under matched case‐control retrospective design. We describe the use of polytomous logistic model for estimating odds ratios when the exposure of prime interests, relative to disease incidence, has more than two levels. An illustrative example is presented and discussed.

Original language	English
Pages (from-to)	209-217
Number of pages	9
Journal	Biometrical Journal
Volume	34
Issue number	2
DOIs	https://doi.org/10.1002/bimj.4710340210
Publication status	Published - 1992

Keywords

Case‐control studies
Deviance statistic
Logistic model
Matched pairs
Odds ratio
Polytomous logistic model

ASJC Scopus subject areas

Statistics and Probability
Medicine(all)
Statistics, Probability and Uncertainty

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10.1002/bimj.4710340210

Cite this

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abstract = "Binary logistic model has been found useful for estimating odds ratio in case of dichotomous exposure variable under matched case‐control retrospective design. We describe the use of polytomous logistic model for estimating odds ratios when the exposure of prime interests, relative to disease incidence, has more than two levels. An illustrative example is presented and discussed.",

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author = "Ganguly, {S. S.} and Nimbalkar, {U. Naik}",

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AB - Binary logistic model has been found useful for estimating odds ratio in case of dichotomous exposure variable under matched case‐control retrospective design. We describe the use of polytomous logistic model for estimating odds ratios when the exposure of prime interests, relative to disease incidence, has more than two levels. An illustrative example is presented and discussed.

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KW - Deviance statistic

KW - Logistic model

KW - Matched pairs

KW - Odds ratio

KW - Polytomous logistic model

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Use of Polytomous Logistic Model in Matched Case‐Control Studies

Abstract

Keywords

ASJC Scopus subject areas

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