Population pharmacokinetic/pharmacodynamic mixture models via maximum a posteriori estimation
type: Item
instance of: scholarly article
title: Population pharmacokinetic/pharmacodynamic mixture models via maximum a posteriori estimation
zbMATH Open document ID: 1453.62240
author: Alan Schumitzky
author: David Z. D'Argenio
author: Xiao-Ning Wang
published in: Computational Statistics and Data Analysis
publication date: 2010-04-01T00:00:00Z
full work available at URL: pmc2743512
Mathematics Subject Classification ID: 62-08
Mathematics Subject Classification ID: 62P10
zbMATH DE Number: 5689146
MaRDI profile type: Publication
OpenAlex ID: W1983002351
cites work: Model-based clustering for longitudinal data
cites work: Q4139463
cites work: Bayesian regularization for normal mixture estimation and model-based clustering
cites work: Sampling-Based Approaches to Calculating Marginal Densities
cites work: Optimal design in random-effects regression models
cites work: A Mixture Model for Longitudinal Data with Application to Assessment of Noncompliance
cites work: Asymptotic normality of the maximum likelihood estimate in the independent not identically distributed case
cites work: A Bayesian Approach to Nonlinear Random Effects Models
cites work: An Analysis of the EM Algorithm and Entropy-Like Proximal Point Methods
cites work: Bayesian Analysis of Linear and Non-Linear Population Models by Using the Gibbs Sampler
cites work: Nonlinear random effects mixture models: maximum likelihood estimation via the EM algorithm
cites work: Q4869532
cites work: On the convergence properties of the EM algorithm
Wikidata QID: Q37345757
DOI: 10.1016/J.CSDA.2009.04.017
description: scientific article; zbMATH DE number 5689146