Sample size calculation for comparing multiple groups in cross-over designs

被引：0
|
作者：
Jo, Yongjun [1 ]
Park, Taesung [1 ]
机构：
[1] Seoul Natl Univ, Dept Stat, Seoul, South Korea
来源：
2017 IEEE INTERNATIONAL CONFERENCE ON BIOINFORMATICS AND BIOMEDICINE (BIBM) | 2017年
基金：
新加坡国家研究基金会;
关键词：
Sample size calculation; Cross-over designs; Linear mixed model; FDR control; Bonferroni correction;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
In clinical research, computing sample size is important. A cross-over design (CD) is widely used for comparing treatment groups such as active treatment and control groups. In the analysis of multi-omits data such as metabolomics data, we often adopt the CD to identify biomarkers that have treatment effects. In this study, we propose a new method to compute the sample size of CDs with multiple treatment groups.
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收藏
页码：1769 / 1771
页数：3
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