Analysis for doubly repeated omics data from crossover design
- 주제(키워드) Crossover design , Linear mixed effect model , Repeated measurements
- 등재 SCOPUS
- 발행기관 Institute of Electrical and Electronics Engineers Inc.
- 발행년도 2017
- URI http://www.dcollection.net/handler/ewha/000000156336
- ISBN 9781509016105
- 본문언어 영어
- Published As http://dx.doi.org/10.1109/BIBM.2016.7822782
초록/요약
Some crossover clinical trials produce doubly repeated omics data with two repeated factors. Linear mixed effect models (LMMs) are commonly applied to the data from the crossover design focusing on the analysis of repeatedly observed omics data themselves. Alternatively, the univariate analyses using the single summary measurements such as differences between time points and incremental area under curve (iAUC) are also widely used. In this study, we compare the performance of both methods for real doubly repeated omics data from a crossover study. © 2016 IEEE.
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