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시간-종속적 공변량이 포함된 이분형반복측정자료의 GEE를 이용한 분석에서 결측체계에 따른 회귀계수 추정방법 비교

Title
시간-종속적 공변량이 포함된 이분형반복측정자료의 GEE를 이용한 분석에서 결측체계에 따른 회귀계수 추정방법 비교
Other Titles
Comparison of GEE Estimation Methods for Repeated Binary Data with Time-Varying Covariates on Different Missing Mechanisms
Authors
박보람;정인경
Issue Date
2013
Journal Title
응용통계연구
ISSN
1225-066X
Citation
응용통계연구, Vol.26(5) : 697~716, 2013
Abstract
When analyzing repeated binary data, the generalized estimating equations(GEE) approach produces consistent estimates for regression parameters even if an incorrect working correlation matrix is used. However, time-varying covariates experience larger changes in coefficients than time-invariant covariates across various working correlation structures for finite samples. In addition, the GEE approach may give biased estimates under missing at random(MAR). Weighted estimating equations and multiple imputation methods have been proposed to reduce biases in parameter estimates under MAR. This article studies if the two methods produce robust estimates across various working correlation structures for longitudinal binary data with time-varying covariates under different missing mechanisms. Through simulation, we observe that time-varying covariates have greater differences in parameter estimates across different working correlation structures than time-invariant covariates. The multiple imputation method produces more robust estimates under any working correlation structure and smaller biases compared to the other two methods.
URI

http://ir.ymlib.yonsei.ac.kr/handle/22282913/88338
DOI
10.5351/KJAS.2013.26.5.697
Appears in Collections:
1. 연구논문 > 1. College of Medicine > Dept. of Biostatistics
Yonsei Authors
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