Journal of the Korean Data and Information Science Society
- 제19권2호
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- Pages.413-420
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- 2008
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- 1598-9402(pISSN)
A marginal logit mixed-effects model for repeated binary response data
초록
This paper suggests a marginal logit mixed-effects for analyzing repeated binary response data. Since binary repeated measures are obtained over time from each subject, observations will have a certain covariance structure among them. As a plausible covariance structure, 1st order auto-regressive correlation structure is assumed for analyzing data. Generalized estimating equations(GEE) method is used for estimating fixed effects in the model.