NIMROD: A program for inference via a normal approximation of the posterior in models with random effects based on ordinary differential equations

Models based on ordinary differential equations (ODE) are widespread tools for describing dynamical systems. In biomedical sciences, data from each subject can be sparse making difficult to precisely estimate individual parameters by standard non-linear regression but information can often be gained...

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Veröffentlicht in:	Computer methods and programs in biomedicine Jg. 111; H. 2; S. 447 - 458
Hauptverfasser:	Prague, Mélanie, Commenges, Daniel, Guedj, Jérémie, Drylewicz, Julia, Thiébaut, Rodolphe
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ireland Ltd 01.08.2013 Elsevier
Schlagworte:	Algorithms Anti-HIV Agents - pharmacokinetics Applications Applied sciences Approximation Bayes Theorem Biological and medical sciences Carbamates - pharmacokinetics Clinical Trials as Topic Computation Computer Science Computer science; control theory; systems Computer simulation Data processing. List processing. Character string processing Differential equations Distributed, Parallel, and Cluster Computing Drug Monitoring - instrumentation Drug Monitoring - methods Estimates Exact sciences and technology General pharmacology HIV HIV Infections - drug therapy Human immunodeficiency virus Humans Inference Internal Medicine Likelihood Functions Mathematical analysis Mathematical models Mathematics Maximum a posteriori Maximum likelihood Medical sciences Memory organisation. Data processing Models, Statistical Non-linear mixed-effects model Ordinary differential equations Other Parametric inference Pharmacokinetics Pharmacokinetics. Pharmacogenetics. Drug-receptor interactions Pharmacology. Drug treatments Probability and statistics Reproducibility of Results Sciences and techniques of general use Software Statistics Sulfonamides - pharmacokinetics Ordinary differential equations Non-linear mixed-effects model Maximum likelihood HIV Pharmacokinetics Maximum a posteriori Identifiability Differential equation Variability Cross validation Dynamical system Modeling Markov chain Model matching Classification Random effect Clinical trial Posterior distribution Biomedical engineering Bayes estimation Monte Carlo method Non linear regression Retroviridae Inference Lentivirus Standards Virus Mixed model Non linear model Human immunodeficiency virus Non linear effect
ISSN:	0169-2607, 1872-7565, 1872-7565
Online-Zugang:	Volltext
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