Hoffman Wherly P, Recknor Justin, Lee Cindy
Global Statistical Sciences, Eli Lilly and Company, Indianapolis, Indiana 46285, USA.
J Biopharm Stat. 2008;18(5):883-900. doi: 10.1080/10543400802287420.
Body weight data are routinely collected in in vivo general toxicology studies, including 2-year carcinogenicity studies, to help assess the overall health of animals. The effect of the compound on body weight is statistically evaluated for each sex separately using a linear trend test or a many-to-one test by Dunnett. These tests are performed either in the framework of a one-factor analysis of variance (ANOVA) or a repeated measures ANOVA. The one-factor ANOVA with Dunnett's test at each time point is a common practice in industry. Although each individual test is conducted at the 0.05 significance level, one wonders about the overall type I error rate and power for performing many individual Dunnett's tests. A simulation study is conducted to answer this question for general toxicology studies of durations 1 month, 3 months, and 2 years. These results provide guidance to managing multiplicity of body weight analysis of general toxicology studies.
在体内一般毒理学研究中,包括两年致癌性研究,会定期收集体重数据,以帮助评估动物的整体健康状况。使用线性趋势检验或Dunnett的多对一检验,分别对每种性别统计评估化合物对体重的影响。这些检验在单因素方差分析(ANOVA)框架内或重复测量方差分析中进行。在每个时间点使用Dunnett检验的单因素方差分析是行业中的常见做法。尽管每个单独的检验都在0.05的显著性水平上进行,但人们会质疑进行多次单独的Dunnett检验时的总体I型错误率和检验效能。进行了一项模拟研究,以回答关于为期1个月、3个月和2年的一般毒理学研究的这个问题。这些结果为管理一般毒理学研究体重分析的多重性提供了指导。