Prediction-Corrected Visual Predictive Checks for Diagnosing Nonlinear Mixed-Effects Models
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Open Access
- 8 February 2011
- journal article
- Published by Springer Nature in The AAPS Journal
- Vol. 13 (2) , 143-151
- https://doi.org/10.1208/s12248-011-9255-z
Abstract
Informative diagnostic tools are vital to the development of useful mixed-effects models. The Visual Predictive Check (VPC) is a popular tool for evaluating the performance of population PK and PKPD...Keywords
This publication has 13 references indexed in Scilit:
- The future of drug development: advancing clinical trial designNature Reviews Drug Discovery, 2009
- Population Pharmacokinetics of Tacrolimus in Pediatric Hematopoietic Stem Cell Transplant Recipients: New Initial Dosage Suggestions and a Model-Based Dosage Adjustment ToolTherapeutic Drug Monitoring, 2009
- Handling Data Below the Limit of Quantification in Mixed Effect ModelsThe AAPS Journal, 2009
- Computing normalised prediction distribution errors to evaluate nonlinear mixed-effect models: The npde add-on package for RComputer Methods and Programs in Biomedicine, 2008
- Extensions to the Visual Predictive Check to facilitate model performance evaluationJournal of Pharmacokinetics and Pharmacodynamics, 2008
- PsN-Toolkit—A collection of computer intensive statistical methods for non-linear mixed effect modeling using NONMEMComputer Methods and Programs in Biomedicine, 2005
- Maximum likelihood estimation in nonlinear mixed effects modelsComputational Statistics & Data Analysis, 2005
- Perl-speaks-NONMEM (PsN)—a Perl module for NONMEM related programmingComputer Methods and Programs in Biomedicine, 2004
- Xpose—an S-PLUS based population pharmacokinetic/pharmacodynamic model building aid for NONMEMComputer Methods and Programs in Biomedicine, 1998
- Analysis of Nonrandomly Censored Ordered Categorical Longitudinal Data from Analgesic TrialsJournal of the American Statistical Association, 1997