Nonparametric estimation of the mixing distribution in logistic regression mixed models with random intercepts and slopes

An algorithm that computes nonparametric maximum likelihood estimates of a mixing distribution for a logistic regression model containing random intercepts and slopes is proposed. The algorithm identifies mixing distribution support points as the maxima of the gradient function using a direct search...

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Veröffentlicht in:	Computational statistics & data analysis 2014-03, Vol.71, p.211-219
Hauptverfasser:	Lesperance, Mary, Saab, Rabih, Neuhaus, John
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Direct search method Generalized linear mixed models with binary outcomes Nonparametric maximum likelihood estimation Random effects
Online-Zugang:	Volltext
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