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혼합모형을 이용한 반복 측정된 변수들 간의 상관분석

Other Titles
 Assessing Correlation between Two Variables in Repeated Measurements using Mixed Effect Models 
Authors
 한경화  ;  정인경 
Citation
 Korean Journal of Applied Statistics (응용통계연구), Vol.28(2) : 201-210, 2015 
Journal Title
 Korean Journal of Applied Statistics (응용통계연구) 
ISSN
 1225-066X 
Issue Date
2015
Keywords
Linear mixed model ; repeated measures ; correlation ; PROC MIXED
Abstract
Repeated measurements on each variables of interest often arise in bioscience or medical research. We need to account for correlations among repeated measurements to assess the correlation between two variables in the presence of replication. This paper reviews methods to estimate a correlation coefficient between two variables in repeated measurements using the variance-covariance matrix of linear mixed effect models. We analyze acoustic radiation force impulse imaging (ARFI) data to assess correlation between three shear wave velocity (SWV) measurements in liver or spleen and spleen length by ultrasonography. We present how to obtain parameter estimates for the variance-covariance matrix and correlations in mixed effects models using PROC MIXED in SAS.
Files in This Item:
T201501325.pdf Download
DOI
10.5351/KJAS.2015.28.2.201
Appears in Collections:
1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Biomedical Systems Informatics (의생명시스템정보학교실) > 1. Journal Papers
Yonsei Authors
Jung, Inkyung(정인경) ORCID logo https://orcid.org/0000-0003-3780-3213
Han, Kyung Hwa(한경화)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/140030
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