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http://dx.doi.org/10.5351/KJAS.2006.19.3.565

Trend Comparison of Repeated Measures Data between Two Groups  

Hwang, Kum-Na (DM/STAT Department, CIMIC Korea)
Kim, Dong-Jae (Department of Biostatistics, The Catholic University of Korea)
Publication Information
The Korean Journal of Applied Statistics / v.19, no.3, 2006 , pp. 565-578 More about this Journal
Abstract
Repeated measurement data between two group is often used in the field of medicine study. In this paper, we suggest a method for comparison of the trend between two groups based on repeated measurement data. First, we estimate regression coefficient of linear regression model from each subject and generate samples using the regression coefficient estimated previous. And then, we test the difference between two groups by unpaired t-test, Wilcoxon rank sum test and placement test using generated samples. Monte Carlo Simulation is adapted to examine the power and experimental significance levels of several methods in various combinations.
Keywords
Repeated measurement data; Trend comparison; Parallelism test;
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