Bailer A J, Portier C J
Division of Biometry and Risk Assessment, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina 27709.
Biometrics. 1988 Jun;44(2):417-31.
Statistical tests of carcinogenicity are shown to have varying degrees of robustness to the effects of mortality. Mortality induced by two different mechanisms is studied--mortality due to the tumor of interest, and mortality due to treatment independent of the tumor. The two most commonly used tests, the life-table test and the Cochran-Armitage linear trend test, are seen to be highly sensitive to increases in treatment lethality using small-sample simulations. Increases in tumor lethality are seen to affect the performance of commonly used prevalence tests such as logistic regression. A simple survival-adjusted quantal response test appears to be the most robust of all the procedures considered.
致癌性的统计检验对死亡率的影响具有不同程度的稳健性。研究了由两种不同机制引起的死亡率——由感兴趣的肿瘤导致的死亡率，以及与肿瘤无关的治疗导致的死亡率。通过小样本模拟发现，两种最常用的检验方法，即生命表检验和 Cochr an - Armitage线性趋势检验，对治疗致死率的增加高度敏感。肿瘤致死率的增加会影响常用患病率检验（如逻辑回归）的性能。在所有考虑的程序中，一种简单的生存调整定量反应检验似乎是最稳健的。
