Gebregziabher Mulugeta, Hoel David
Medical University of South Carolina, Department of Biostatistics, Bioinformatics and Epidemiology, Charleston, SC, USA.
Hum Ecol Risk Assess. 2009 Sep 1;15(5):858-875. doi: 10.1080/10807030903153360.
The statistical analysis of cancer bioassay data has historically depended on the pathological determination of the experimental animal's cause of death. The poly-k statistical test has provided a method of statistical analysis of animal bioassay data without the need for cause of death information. The test has been shown to have good statistical properties in the typical 2-year cancer bioassay. However, while the poly-k test has been applied to chronic lifetime animal studies, it has not been formally evaluated with respect to the operating characteristics of this statistical test when applied to such studies. Thus, our objective is to assess the performance of the poly-k test for lifetime studies and to make comparisons with other tests. We observed in one recent lifetime study of the gasoline additive MTBE that the application of the poly-k test was not statistically robust. Simulation studies were subsequently conducted for a limited number of scenarios of lifetime cancer bioassays. These simulations showed that the poly-k test is not statistically robust for testing effect of increasing dose in some lifetime cancer studies.
癌症生物测定数据的统计分析历来依赖于对实验动物死因的病理判定。多k统计检验提供了一种无需死因信息的动物生物测定数据统计分析方法。该检验在典型的两年期癌症生物测定中已显示出良好的统计特性。然而,虽然多k检验已应用于慢性终生动物研究,但在应用于此类研究时,尚未就该统计检验的操作特性进行正式评估。因此,我们的目标是评估多k检验在终生研究中的性能,并与其他检验进行比较。我们在最近一项关于汽油添加剂甲基叔丁基醚的终生研究中观察到,多k检验的应用在统计学上并不稳健。随后针对有限数量的终生癌症生物测定场景进行了模拟研究。这些模拟表明,在某些终生癌症研究中,多k检验在检验剂量增加的效应时在统计学上并不稳健。