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http://dx.doi.org/10.5351/KJAS.2002.15.2.297

Small Sample Characteristics of Generalized Estimating Equations for Categorical Repeated Measurements  

김동욱 (성균관대학교 통계학과)
김재직 (한국노동연구원)
Publication Information
The Korean Journal of Applied Statistics / v.15, no.2, 2002 , pp. 297-310 More about this Journal
Abstract
Liang and Zeger proposed generalized estimating equations(GEE) for analyzing repeated data which is discrete or continuous. GEE model can be extended to model for repeated categorical data and its estimator has asymptotic multivariate normal distribution in large sample sizes. But GEE is based on large sample asymptotic theory. In this paper, we study the properties of GEE estimators for repeated ordinal data in small sample sizes. We generate ordinal repeated measurements for two groups using two methods. Through Monte Carlo simulation studies we investigate the empirical type 1 error rates, powers, relative efficiencies of the GEE estimators, the effect of unequal sample size of two groups, and the performance of variance estimators for polytomous ordinal response variables, especially in small sample sizes.
Keywords
Generalized estimating equations; Repeated measurements; Ordinal data; Small sample size; Statistical inference;
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Times Cited By KSCI : 1  (Citation Analysis)
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