In the Food and Drug Administration, statistical testing for dose related trend is recommended to examine tumorigenicity in long term animal experiments. The survival-adjusted Cochran-Armitage test, known as the Poly-k test, is used for detecting a linear trend in the incidence of an occult tumor of interest across dose groups. Usually, in long term animal tumorigenicity studies the Poly-3 test with the shape parameter 3 is used. In this research, an age-adjusted bootstrap-based method is developed as a nonparametric alternative to the Poly-3 test in animal carcinogenicity data. An empirical distribution of the Poly-3 trend test statistic is investigated by comparing the proposed age-adjusted bootstrap method to the Poly-3 test statistic. The proposed method is applied to National Toxicology Program data sets to evaluate a dose-related trend of a test substance on the incidence of tumors. Further investigations will be conducted in a simulation study to evaluate the robustness of these tests to various Weibull-family tumor onset distributions.
|Commitee:||Kim-Park, Yong Hee, Moon, Hojin, Suaray, Kagba|
|School:||California State University, Long Beach|
|Department:||Mathematics and Statistics|
|School Location:||United States -- California|
|Source:||MAI 51/04M(E), Masters Abstracts International|
|Subjects:||Biostatistics, Statistics, Oncology|
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