Title: Performance of likelihood-based estimation methods for multilevel binary regression models
Authors: Callens, Marc
Croux, Christophe
Issue Date: 2003
Publisher: K.U.Leuven - Departement toegepaste economische wetenschappen
Series Title: DTEW Research Report 0357 pages:1-25
Abstract: By means of a fractional factorial simulation experiment, we compare the performance of Penalised Quasi-Likelihood, Non-Adaptive Gaussian Quadrature and Adaptive Gaussian Quadrature in estimating parameters for multi-level logistic regression models. The comparison is done in terms of bias, mean squared error, numerical convergence, and computational efficiency. It turns out that, in terms of Mean Squared Error, standard versions of the Quadrature methods perform relatively poor in comparison with Penalized Quasi-Likelihood.
Publication status: published
KU Leuven publication type: IR
Appears in Collections:Research Center for Operations Research and Business Statistics (ORSTAT), Leuven

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