Estimation of population pharmacokinetics using the Gibbs sampler

Journal of Pharmacokinetics and Biopharmaceutics

Volumn 23, Issue 4, 1995, Pages 407-435

  Best, Nicola G ^a   Tan, Keith K C ^b   Gilks, Wally R ^a   Spiegelhalter, David J ^a  

^a UNIVERSITY OF CAMBRIDGE   (United Kingdom)

^b UNIVERSITY OF CAMBRIDGE   (United Kingdom)

Author keywords

gentamicin; Gibbs sampling; population pharmacokinetics

Indexed keywords

GENTAMICIN;

BACTERIAL INFECTION; COMPUTER; GRAM NEGATIVE BACTERIUM; HUMAN; INTRAVENOUS DRUG ADMINISTRATION; MAJOR CLINICAL STUDY; NEWBORN; PHARMACOKINETICS; POPULATION; PRIORITY JOURNAL; REVIEW; STATISTICS; THEORETICAL STUDY;

ANTI-BACTERIAL AGENTS; BAYES THEOREM; GENTAMICINS; HUMANS; INFANT, NEWBORN; MODELS, STATISTICAL;

EID: 0029552396     PISSN: 0090466X     EISSN: 15738744     Source Type: Journal    
DOI: 10.1007/BF02353641     Document Type: Article

References (59)

1. Evaluation of methods for estimating population pharmacokinetic parameters. I. Michaelis-Menten model: Clinical pharmacokinetic data
2. Alternative approaches to estimation of population pharmacokinetic parameters: Comparison with nonlinear mixed-effects model
3. A maximum likelihood estimation method for random coefficient regression models
4. Estimating inter-individual pharmacokinetic variability
5. A Bayesian approach to nonlinear random effects models
6. The estimation of population pharmacokinetic parameters using an EM algorithm
7. An evaluation of point and interval estimates in population pharmacokinetics using NONMEM analysis
8. Nonlinear mixed effects models for repeated measures data
9. Mixed effects nonlinear regression for unbalanced repeated measures
10. Population pharmacokinetics of gentamicin in neonates
11. Pharmacokinetics of dosing regimens which utilize multiple intravenous infusions: Gentamicin in burns patients
12. Kinetic models for gentamicin dosing with the use of patient parameters
13. Aminoglycosides
14. Population pharmacokinetics of tobramycin
15. Estimation of gentamicin clearance and volume of distribution in neonates and young children
16. Equations of state calculations by fast computing machines
17. Stochastic relaxation, Gibbs distributions and the Bayesian restoration of images
18. Sampling-based approaches to calculating marginal densities
19. Modelling complexity: applications of Gibbs sampling in medicine
20. Bayesian analysis of constrained parameter and truncated data problems using Gibbs sampling
21. Hierarchical Bayesian analysis of changepoint problems
22. Discussion of “Bayesian computation via the Gibbs sampler and related Markov chain Monte Carlo
23. Explaining the Gibbs sampler
24. Spatial interaction and the statistical analysis of lattice systems (with discussion)
25. Bayesian analysis of linear and non-linear population models using the Gibbs sampler
26. Efficient generation of random variates via the ratio-of-uniforms method
27. Evaluating the accuracy of sampling-based approaches to calculating posterior moments
28. Inference from iterative simulation using multiple sequences
29. Simulation run length control in the presence of an initial transient
30. Bayesian model choice via Markov chain Monte Carlo methods
31. Bayesian model choice: asymptotics and exact calculations
32. An accepted loss approach to the design of dosage regimens via sampling-based methods
33. Estimating glomerular filtration rate in infants
34. Postconceptual age and gentamicin elimination half-life
35. Gentamicin disposition and effect on development of renal function in the very low birth-weight infant
36. Bayesian analysis of outlier problems using the Gibbs sampler
37. Handling covariates in population pharmacokinetics, with an application to gentamicin
38. Smooth non-parametric maximum likelihood estimation for population pharmacokinetics with application to quinidine
39. Building population pharmacokinetic-pharmacodynamic models. I. Models for covariate effects
40. A three-step approach combining Bayesian regression and NONMEM population analysis: Application to midazolam
41. Contribution to discussion of “Gibbs sampling and other Markov chain Monte Carlo
42. A numerical proceedure to generate a sample covariance matrix