@inproceedings{b13d5510e3c241398f963b30e41359ac,
title = "Comparison of Statistical Models for Cross-over design",
abstract = "Cross-over designs have been widely used in clinical trials to investigate the efficacy of new treatments. In cross-over design, each subject is treated subsequently with different treatments. Many methods such as linear mixed models (LMMs) and generalized estimating equation (GEE) models have been used to analyze the repeated measurements from cross-over design. When we consider repeated measured response variables, estimation of random components for LMMs is not always easy. In this article, we applied the GEE method to cross-over design to overcome the limitation of LMMs. To apply the GEE model to the data from the cross-over designs, we need to switch the role of variables in LMM such a way that the independent variable in LMMs is considered as a response variable in GEE model and vice versa. The purpose of this study is to compare the performance of these GEE models and LMMs for cross-over designs. Through simulation studies, we checked the type I errors and compared power to evaluate the performance of the proposed GEE model and LMMs.",
keywords = "Correlated data, Cross-over design, Generalized estimating equation model, Mixed effect model",
author = "Yonggab Kim and Kamruzzaman Md and Yeni Lim and Oran Kwon and Taesung Park",
note = "Funding Information: V. ACKNOWLEDGMENT This work was supported by the Bio & Medical Technology Development Program of the National Research Foundation of Korea (NRF) grant (2013M3A9C4078158) and by grants of the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (grant number : HI16C2037) Publisher Copyright: {\textcopyright} 2019 IEEE.; null ; Conference date: 18-11-2019 Through 21-11-2019",
year = "2019",
month = nov,
doi = "10.1109/BIBM47256.2019.8983309",
language = "English",
series = "Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1211--1213",
editor = "Illhoi Yoo and Jinbo Bi and Hu, {Xiaohua Tony}",
booktitle = "Proceedings - 2019 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2019",
}