| Literature DB >> 3979356 |
Abstract
Data from 1,111 controls from assays run over 11 years are examined to determine a most powerful statistical procedure for detecting a mutagenic effect. It is concluded that the data do not show a constant probability of chromosomal abnormalities and that the data do not fit a simple Poisson or binomial distribution. Empirical Bayes techniques are used to derive a test that declares an effect if three or more cells in a group of 50 tested contain abnormalities.Entities:
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Year: 1985 PMID: 3979356 DOI: 10.1002/em.2860070809
Source DB: PubMed Journal: Environ Mutagen ISSN: 0192-2521