Modeling attainment of steady state of drug concentration in plasma by means of a Bayesian approach using MCMC methods

Pharmaceutical Statistics

Volumn 7, Issue 1, 2008, Pages 36-41

  Jordan, Paul ^a   Brunschwig, Hadassa ^a,b   Luedin, Eric ^a  

^a F HOFFMANN LA ROCHE LTD   (Switzerland)

^b MERCK SERONO S A   (Switzerland)

Author keywords

Bayes; Gibbs sampling; Markov Chain Monte Carlo; Mixed effects; Pharmacokinetics; Steady state

Indexed keywords

DRUG;

ADULT; AGED; ARTICLE; BAYES THEOREM; CLINICAL TRIAL; CONCEPTUAL FRAMEWORK; DRUG BLOOD LEVEL; HUMAN; HUMAN EXPERIMENT; MALE; MATHEMATICAL COMPUTING; MONTE CARLO METHOD; NONLINEAR SYSTEM; NORMAL HUMAN; PROBABILITY; STATISTICAL MODEL; STEADY STATE;

ADULT; BAYES THEOREM; CLINICAL TRIALS, PHASE I AS TOPIC; DATA INTERPRETATION, STATISTICAL; HUMANS; MALE; MARKOV CHAINS; MIDDLE AGED; MODELS, BIOLOGICAL; MODELS, STATISTICAL; MONTE CARLO METHOD; NONLINEAR DYNAMICS; PHARMACOKINETICS; RANDOMIZED CONTROLLED TRIALS AS TOPIC; RESEARCH DESIGN;

EID: 40749139028     PISSN: 15391604     EISSN: 15391612     Source Type: Journal    
DOI: 10.1002/pst.263     Document Type: Article

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