Polytomous logistic model for matched pairs case-control design: Studies with covariates

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

*المؤلف المقابل لهذا العمل

نتاج البحث: المساهمة في مجلةArticleمراجعة النظراء

2 اقتباسات (Scopus)


Pair-wise matched case-control design is commonly used in epidemiological analysis for estimating odds ratios. In the most simplest situation, each subject is classified according to a binary outcome and the factor of interest being a two-level factor. Binary logistic models have been found to be very useful for studying such relationship. In our earlier studies we have shown that polytomous logistic model can be used for estimating odds ratios when the exposure of prime interest assumes multiple levels. In this paper, using the above model, we estimate the odds ratios for the possible levels of risk factor of interest adjusting for covariates which were not included in the matching process. An illustrative example is presented and discussed.

اللغة الأصليةEnglish
الصفحات (من إلى)455-464
عدد الصفحات10
دوريةJournal of Applied Statistics
مستوى الصوت19
رقم الإصدار4
المعرِّفات الرقمية للأشياء
حالة النشرPublished - يناير 1 1992

ASJC Scopus subject areas

  • ???subjectarea.asjc.2600.2613???
  • ???subjectarea.asjc.1800.1804???


أدرس بدقة موضوعات البحث “Polytomous logistic model for matched pairs case-control design: Studies with covariates'. فهما يشكلان معًا بصمة فريدة.

قم بذكر هذا