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# Examples in which misspecification of a random effects distribution reduces efficiency, and possible remedies

@article{Agresti2004ExamplesIW, title={Examples in which misspecification of a random effects distribution reduces efficiency, and possible remedies}, author={Alan Agresti and Brian Caffo and Pamela Ohman-Strickland}, journal={Computational Statistics & Data Analysis}, year={2004}, volume={47}, pages={639-653} }

- Published in Computational Statistics & Data Analysis 2004
DOI:10.1016/j.csda.2003.12.009

This note shows three cases in which a considerable loss of efficiency can result from assuming a parametric distribution for a random effect that is substantially different from the true distribution. For two simple models for binary response data, we studied the effects of assuming normality or of using a nonparametric fitting procedure for random effects, when the true distribution is potentially far from normal. Although usually the choice of random effects distribution has little effect onâ€¦Â CONTINUE READING