Using WinBUGS to Fit Nonlinear Mixed Models with an Application to Pharmacokinetic Modelling of Insulin Response to Glucose Challenge in Sheep Exposed Antenatally to Glucocorticoids

DOI10.1081/BIP-120017730zbMath1159.62333WikidataQ44361088 ScholiaQ44361088MaRDI QIDQ4796216

Timothy J. Moss, John R. G. Challis, Deborah Sloboda, Lyle C. Gurrin, John Newnham, Martin L. Hazelton

Publication date: 2 March 2003

Published in: Journal of Biopharmaceutical Statistics (Search for Journal in Brave)

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15) Kinetics in biochemical problems (pharmacokinetics, enzyme kinetics, etc.) (92C45) Medical applications (general) (92C50) Numerical analysis or methods applied to Markov chains (65C40)

Uses Software

• CODA
• WinBUGS
• BUGS
• pyuvdata

Cites Work

• Inference from iterative simulation using multiple sequences
• The Bayesian Analysis of Population Pharmacokinetic Models
• Sampling-Based Approaches to Calculating Marginal Densities
• Bayesian Analysis of Linear and Non-Linear Population Models by Using the Gibbs Sampler
• Contemporary Bayesian Econometrics and Statistics
• Unnamed Item

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