Methods for analyzing multivariate binary data, with association between outcomes of interest.

G Molenberghs; L L Ritter

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PubMed · 8924574

Methods for analyzing multivariate binary data, with association between outcomes of interest.

G Molenberghs·L L Ritter

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Abstract

A likelihood based method is proposed for multivariate categorical data. It is assumed that, together with the marginal outcomes, the set of pairwise associations between outcomes is of scientific interest. The focus is on binary outcomes and it is indicated how the proposed method generalizes to categorical outcomes. A connection with second-order generalized estimating equations (GEE2) is established. The method is applied to analyze data from a developmental toxicity study.

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Animals Biometry Congenital Abnormalities Data Interpretation, Statistical Embryonic and Fetal Development Female Hot Temperature Likelihood Functions Models, Statistical Multivariate Analysis Pregnancy Rats Journal Article

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G Molenberghs, L L Ritter. 1996. Methods for analyzing multivariate binary data, with association between outcomes of interest.. https://pubmed.ncbi.nlm.nih.gov/8924574/

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