EFFECTS OF TREATMENT-INDUCED MORTALITY AND TUMOR-INDUCED MORTALITY ON TESTS FOR CARCINOGENICITY IN SMALL SAMPLES
EFFECTS OF TREATMENT-INDUCED MORTALITY AND TUMOR-INDUCED MORTALITY ON TESTS FOR CARCINOGENICITY IN SMALL SAMPLES
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DOI：
10.2307/2531856
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发表时间：
1988-06-01
期刊：
影响因子：
1.9
通讯作者：
PORTIER, CJ
中科院分区：
文献类型：
--
作者：
BAILER, AJ;PORTIER, CJ
致癌性的统计检验显示，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诱导的死亡率。sbd.由感兴趣的肿瘤引起的死亡率，以及由与肿瘤无关的治疗引起的死亡率。使用小样本模拟发现，两种最常用的检验，即生命表检验和Cochran-Armitage线性趋势检验，对治疗致死率的增加高度敏感。肿瘤致死率的增加被认为会影响常用的流行率测试的性能，如逻辑回归。简单的生存调整量子响应测试被认为是所有考虑的程序中最稳健的。
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.sbd.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 apepars to be the most robust of all the procedures considered.