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

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-omics 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.