Statistical methods for analyzing developmental toxicity data

Walter W. Piegorsch, Joseph K. Haseman

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

A description and review of methods for performing per‐litter analyses involving extrabinomial 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.

Original languageEnglish (US)
Pages (from-to)115-133
Number of pages19
JournalTeratogenesis, Carcinogenesis, and Mutagenesis
Volume11
Issue number3
DOIs
StatePublished - 1991
Externally publishedYes

Keywords

  • beta‐binomial model
  • dominant lethal test
  • generalized binomial models
  • genotoxicity
  • intralitter correlation
  • overdispersion
  • quasilikelihood estimation
  • statistical resampling plans

ASJC Scopus subject areas

  • Oncology
  • Genetics
  • Toxicology
  • Genetics(clinical)
  • Health, Toxicology and Mutagenesis

Fingerprint

Dive into the research topics of 'Statistical methods for analyzing developmental toxicity data'. Together they form a unique fingerprint.

Cite this