Literature DB >> 564719

The use of a correlated binomial model for the analysis of certain toxicological experiments.

L L Kupper, J K Haseman.   

Abstract

In certain toxicological experiments with laboratory animals, the outcome of interest is the occurrence of dead or malformed fetuses in a litter. Previous investigations have shown that the simple one-parameter binomial and Poisson models generally provide poor fits to this type of binary data. In this paper, a type of correlated binomial model is proposed for use in this situation. First, the model is described in detail and is compared to a beta-binomial model proposed by Williams (1975). These two-parameter models are then contrasted for goodness of fit to some real-life data. Finally, numerical examples are given in which likelihood ratio tests based on these models are employed to assess the significance of treatment-control differences.

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Year:  1978        PMID: 564719

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  6 in total

1.  Relative Efficiency of Unequal Versus Equal Cluster Sizes for the Nonparametric Weighted Sign Test Estimators in Clustered Binary Data.

Authors:  Chul Ahn; Fan Hu; Seung-Chun Lee
Journal:  Drug Inf J       Date:  2012-07-02

2.  Analysis of Binary Adherence Data in the Setting of Polypharmacy: A Comparison of Different Approaches.

Authors:  Denise A Esserman; Charity G Moore; Mary T Roth
Journal:  Stat Biopharm Res       Date:  2009-05-01       Impact factor: 1.452

3.  Embryotoxicity induced by alkylating agents: 5. Dose-response relationships of teratogenic effects of methylnitrosourea in mice.

Authors:  T Platzek; G Bochert; B Pauli; R Meister; D Neubert
Journal:  Arch Toxicol       Date:  1988       Impact factor: 5.153

4.  Markov counting models for correlated binary responses.

Authors:  Forrest W Crawford; Daniel Zelterman
Journal:  Biostatistics       Date:  2015-03-19       Impact factor: 5.279

5.  Interagency regulatory liaison group workshop on reproductive toxicity risk assessment.

Authors:  C A Kimmel; G L Kimmel; V Frankos
Journal:  Environ Health Perspect       Date:  1986-04       Impact factor: 9.031

Review 6.  Statistical methods for the beta-binomial model in teratology.

Authors:  E Yamamoto; T Yanagimoto
Journal:  Environ Health Perspect       Date:  1994-01       Impact factor: 9.031

  6 in total

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