An objective of animal carcinogenicity studies is to identify a tumorigenic potential in animals and to assess relevant risks in humans. Without using the cause-of-death information, the Cochran-Armitage test is applied for detecting a linear trend in the incidence of a tumor of interest across dose groups. The survival-adjusted Cochran–Armitage test, known as the Poly-k test, is investigated for the animals not at equal risk of tumor development by reflecting the shapes of the tumor onset distributions. In this thesis, we will validate Poly-k test through a Monte Carlo simulation study. We will design the simulation study to assess the size and power of the poly-k test using a wide range of k values for various tumor onset rates, for various competing risks rates, and for various tumor lethality rates. In this thesis, the Poly-k testing approach will be investigated to evaluate a dose-related linear trend of a test subject on the incidence of tumor and will be implemented in R package to be used widely amongst toxicologists.
|Commitee:||Kim-Park, Yonghee, Suaray, Kagba|
|School:||California State University, Long Beach|
|Department:||Mathematics and Statistics|
|School Location:||United States -- California|
|Source:||MAI 57/04M(E), Masters Abstracts International|
|Keywords:||Animal carcinogenicity studies, Monte Carlo simulation, Poly-k test|
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