Statistical Inference for Tumor Growth Inhibition T/C Ratio

被引:31
|
作者
Wu, Jianrong [1 ]
机构
[1] St Jude Childrens Res Hosp, Dept Biostat, Memphis, TN 38105 USA
关键词
Bootstrap; Confidence interval; Hypothesis; Likelihood ratio; Log-normal; Sample size; Tumor growth inhibition; Xenografts; PRECLINICAL TESTING PROGRAM; IN-VITRO; MODELS; XENOGRAFT;
D O I
10.1080/10543401003618983
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
The tumor growth inhibition T/C ratio is commonly used to quantify treatment effects in drug screening tumor xenograft experiments. The T/C ratio is converted to an antitumor activity rating using an arbitrary cutoff point and often without any formal statistical inference. Here, we applied a nonparametric bootstrap method and a small sample likelihood ratio statistic to make a statistical inference of the T/C ratio, including both hypothesis testing and a confidence interval estimate. Furthermore, sample size and power are also discussed for statistical design of tumor xenograft experiments. Tumor xenograft data from an actual experiment were analyzed to illustrate the application.
引用
收藏
页码:954 / 964
页数:11
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