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.

引用

页码：1769 / 1771

页数：3

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