STATISTICAL-METHODS FOR ANALYZING DEVELOPMENTAL TOXICITY DATA

被引:24
|
作者
PIEGORSCH, WW
HASEMAN, JK
机构
[1] Statistics and Biomathematics Branch, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina
来源
关键词
BETA-BINOMIAL MODEL; DOMINANT LETHAL TEST; GENERALIZED BINOMIAL MODELS; GENOTOXICITY; INTRALITTER CORRELATION; OVERDISPERSION; QUASILIKELIHOOD ESTIMATION; STATISTICAL RESAMPLING PLANS;
D O I
10.1002/tcm.1770110302
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
A description and review of methods for performing per-litter analyses involving extra-binomial proportion response is provided. It is stressed that the litter should be regarded as the appropriate experimental unit for quantitative analysis in studies for teratogenic or heritable mutagenic effects. Attention is directed at statistical identification of possible treatment effects, such as a positive dose response to a chemical stimulus. The methods range from distribution-free, nonparametric analyses to models involving parametric distributions such as the beta-binomial density. It is seen that most current methods require computer implementation. When concern is raised over misspecification of assumptions critical to the statistical analysis, it is argued that relatively parameter-free methods are appropriate for use. These include statistical bootstrapping and rank-based analyses.
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页码:115 / 133
页数:19
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