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http://dx.doi.org/10.5351/KJAS.2015.28.2.269

Likelihood-Based Inference of Random Effects and Application in Logistic Regression  

Kim, Gwangsu (Department of Statistics, Korea University)
Publication Information
The Korean Journal of Applied Statistics / v.28, no.2, 2015 , pp. 269-279 More about this Journal
Abstract
This paper considers inferences of random effects. We show that the proposed confidence distribution (CD) performs well in logistic regression for random intercepts with small samples. Real data analyses are also done to identify the subject effects clearly.
Keywords
Confidence distribution; generalized linear mixed effects model; logistic regression; predictive likelihood; prediction interval; random effects;
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