Use of Polytomous Logistic Model in Matched Case‐Control Studies

S. S. Ganguly, U. Naik Nimbalkar

Research output: Contribution to journalArticle

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 languageEnglish
Pages (from-to)209-217
Number of pages9
JournalBiometrical Journal
Volume34
Issue number2
DOIs
Publication statusPublished - 1992

Fingerprint

Case-control Study
Odds Ratio
Logistic Model
Logistic Models
Case-control
Incidence
Binary
Odds ratio
Logistic model
Design

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

Cite this

Use of Polytomous Logistic Model in Matched Case‐Control Studies. / Ganguly, S. S.; Nimbalkar, U. Naik.

In: Biometrical Journal, Vol. 34, No. 2, 1992, p. 209-217.

Research output: Contribution to journalArticle

Ganguly, S. S. ; Nimbalkar, U. Naik. / Use of Polytomous Logistic Model in Matched Case‐Control Studies. In: Biometrical Journal. 1992 ; Vol. 34, No. 2. pp. 209-217.
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