Logistic Regression with Multiple Random Effects: A Simulation Study of Estimation Methods and Statistical Packages.

Abstract

Several statistical packages are capable of estimating generalized linear mixed models and these packages provide one or more of three estimation methods: penalized quasi-likelihood, Laplace, and Gauss-Hermite. Many studies have investigated these methods' performance for the mixed-effects logistic regression model. However, the authors focused on models… (More)
DOI: 10.1080/00031305.2013.817357

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Cite this paper

@article{Kim2013LogisticRW, title={Logistic Regression with Multiple Random Effects: A Simulation Study of Estimation Methods and Statistical Packages.}, author={Yoonsang Kim and Young-Ku Choi and Sherry L Emery}, journal={The American statistician}, year={2013}, volume={67 3} }