Literature DB >> 21908878

Why should prediction discrepancies be renamed standardized visual predictive check?

Emmanuelle Comets, Karl Brendel, France Mentré.   

Abstract

Mesh：

Year:  2011        PMID： 21908878      PMCID： PMC4003553          DOI： 10.1177/0091270011412963

Source DB:  PubMed          Journal:  J Clin Pharmacol        ISSN： 0091-2700            Impact factor:   3.126


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  4 in total

1.  Prediction discrepancies for the evaluation of nonlinear mixed-effects models.

Authors:  France Mentré; Sylvie Escolano
Journal:  J Pharmacokinet Pharmacodyn       Date:  2005-11-13       Impact factor: 2.745

2.  Evaluation of different tests based on observations for external model evaluation of population analyses.

Authors:  Karl Brendel; Emmanuelle Comets; Céline Laffont; France Mentré
Journal:  J Pharmacokinet Pharmacodyn       Date:  2009-12-23       Impact factor: 2.745

3.  Population pharmacokinetic analysis of mizolastine and validation from sparse data on patients using the nonparametric maximum likelihood method.

Authors:  F Mesnil; F Mentré; C Dubruc; J P Thénot; A Mallet
Journal:  J Pharmacokinet Biopharm       Date:  1998-04

4.  Standardized visual predictive check versus visual predictive check for model evaluation.

Authors:  Diane D Wang; Shuzhong Zhang
Journal:  J Clin Pharmacol       Date:  2011-01-21       Impact factor: 3.126
  4 in total
  1 in total

1.  Good Practices in Model-Informed Drug Discovery and Development: Practice, Application, and Documentation.

Authors:  S F Marshall; R Burghaus; V Cosson; S Y A Cheung; M Chenel; O DellaPasqua; N Frey; B Hamrén; L Harnisch; F Ivanow; T Kerbusch; J Lippert; P A Milligan; S Rohou; A Staab; J L Steimer; C Tornøe; S A G Visser
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2016-03-14
  1 in total

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