Statistical analysis of the Ames Salmonella/microsome test.
Author(s) -
Barry H. Margolin,
N. Kaplan,
Errol Zeiger
Publication year - 1981
Publication title -
proceedings of the national academy of sciences
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.78.6.3779
Subject(s) - salmonella , ames test , microsome , poisson distribution , statistics , reproducibility , statistical hypothesis testing , mathematics , biology , toxicology , computational biology , genetics , in vitro , bacteria
A family of statistical models for analysis of Ames Salmonella/microsome test data is constructed that considers mutation and toxicity as competing risks and allows hyper-Poisson variability. These models have a parameter than can be employed as a mutagenic index because it approximates the slope at zero dose of a dose-response curve adjusted for toxicity. A second parameter quantifies plate-to-plate variability and lends itself to the study of factors affecting internal test reproducibility. The detection of aberrant plate counts is also addressed. This methodology is illustrated with data from a Salmonella test.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom