 Dose‐Response Models for Correlated Multinomial Data from Developmental Toxicity StudiesY. Zhu, D. Krewski and W. H. Ross Journal of the Royal Statistical Society Series C, 1994, vol. 43, issue 4, 583-598 Abstract: Developmental anomalies induced by toxic chemicals may be identified by using laboratory experiments with rats and mice. This paper examines dose‐response models for correlated multinomial data arising in studies of developmental toxicity. A hierarchical probability structure is used to unify and extend previous methods of modelling correlated binary data arising in such studies. Generalized estimating equations in conjunction with an extended Dirichlet‐multinomial covariance function are used to estimate jointly the regression parameters in Weibull dose‐response models for both embryolethality and fetal malformations. Quadratic estimating equations are used to estimate the overdispersion (correlation) parameters. Maximum likelihood estimates based on a Dirichlet‐multinomial distribution are also computed for comparison. The modelling procedures proposed are illustrated through the analysis of data from a recent large scale study of the developmental toxicity of the herbicide 2,4,5‐trichlorophenoxyacetic acid. Date: 1994 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssc:v:43:y:1994:i:4:p:583-598 Ordering information: This journal article can be ordered from Access Statistics for this article Journal of the Royal Statistical Society Series C is currently edited by R. Chandler and P. W. F. Smith More articles in Journal of the Royal Statistical Society Series C from Royal Statistical Society Contact information at EDIRC. |
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