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Pseudolikelihood Modeling of Multivariate Outcomes in Developmental Toxicology

 

作者: Helena Geys,   Geert Molenberghs,   LouiseM. Ryan,  

 

期刊: Journal of the American Statistical Association  （Taylor Available online 1999）
卷期: Volume 94, issue 447  

页码: 734-745

 

ISSN:0162-1459

 

年代: 1999

 

DOI:10.1080/01621459.1999.10474176

 

出版商: Taylor & Francis Group

 

关键词: Clustered multivariate binary data;Fractional polynomial;Likelihood;Normalizing constant

 

数据来源: Taylor

 

摘要:

The primary goal of this article is to determine benchmark doses based on the ethylene glycol study, which comprises data from a developmental toxicity study in mice. Because the data involve a vector of malformation indicators, a flexible model for multivariate clustered data is required. An exponential family model is considered and pseudolikelihood-based inferential tools are proposed, hence avoiding excessive computational requirements.

 

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