Format
Items per page
Sort by

Send to:

Choose Destination

Results: 1 to 20 of 94

Similar articles for PubMed (Select 19132515)

1.

Combining MCMC with 'sequential' PKPD modelling.

Lunn D, Best N, Spiegelhalter D, Graham G, Neuenschwander B.

J Pharmacokinet Pharmacodyn. 2009 Feb;36(1):19-38. doi: 10.1007/s10928-008-9109-1. Epub 2009 Jan 9.

PMID:
19132515
2.
3.

The use of the SAEM algorithm in MONOLIX software for estimation of population pharmacokinetic-pharmacodynamic-viral dynamics parameters of maraviroc in asymptomatic HIV subjects.

Chan PL, Jacqmin P, Lavielle M, McFadyen L, Weatherley B.

J Pharmacokinet Pharmacodyn. 2011 Feb;38(1):41-61. doi: 10.1007/s10928-010-9175-z. Epub 2010 Nov 19.

4.

A novel Gibbs maximum a posteriori (GMAP) approach on Bayesian nonlinear mixed-effects population pharmacokinetics (PK) models.

Kim S, Hall SD, Li L.

J Biopharm Stat. 2009 Jul;19(4):700-20. doi: 10.1080/10543400902964159.

5.

A Bayesian approach for PK/PD modeling with PD data below limit of quantification.

Zhou H, Hartford A, Tsai K.

J Biopharm Stat. 2012;22(6):1220-43. doi: 10.1080/10543406.2011.585441.

PMID:
23075019
6.

GSEVM v.2: MCMC software to analyze genetically structured environmental variance models.

Ibáñez-Escriche N, Garcia M, Sorensen D.

J Anim Breed Genet. 2010 Jun;127(3):249-51. doi: 10.1111/j.1439-0388.2009.00846.x.

PMID:
20536643
7.

Application of the Bayesian dynamic survival model in medicine.

He J, McGee DL, Niu X.

Stat Med. 2010 Feb 10;29(3):347-60. doi: 10.1002/sim.3795.

PMID:
20014356
8.

Simultaneous versus sequential pharmacokinetic-pharmacodynamic population analysis using an iterative two-stage Bayesian technique.

Proost JH, Schiere S, Eleveld DJ, Wierda JM.

Biopharm Drug Dispos. 2007 Nov;28(8):455-73.

PMID:
17847121
9.

Assessing the convergence of Markov Chain Monte Carlo methods: an example from evaluation of diagnostic tests in absence of a gold standard.

Toft N, Innocent GT, Gettinby G, Reid SW.

Prev Vet Med. 2007 May 16;79(2-4):244-56. Epub 2007 Feb 9.

PMID:
17292499
10.

Data cloning: easy maximum likelihood estimation for complex ecological models using Bayesian Markov chain Monte Carlo methods.

Lele SR, Dennis B, Lutscher F.

Ecol Lett. 2007 Jul;10(7):551-63. Erratum in: Ecol Lett. 2007 Sep;10(9):866.

PMID:
17542934
11.

An example of complex modelling in dentistry using Markov chain Monte Carlo (MCMC) simulation.

Helfenstein U, Menghini G, Steiner M, Murati F.

Community Dent Health. 2002 Sep;19(3):152-60.

PMID:
12269461
12.

Phylogenetic inference via sequential Monte Carlo.

Bouchard-Côté A, Sankararaman S, Jordan MI.

Syst Biol. 2012 Jul;61(4):579-93. doi: 10.1093/sysbio/syr131. Epub 2012 Jan 4.

13.

Spatiotemporal Bayesian inference dipole analysis for MEG neuroimaging data.

Jun SC, George JS, Paré-Blagoev J, Plis SM, Ranken DM, Schmidt DM, Wood CC.

Neuroimage. 2005 Oct 15;28(1):84-98. Epub 2005 Jul 15.

PMID:
16023866
14.

A Bayesian meta-analysis on published sample mean and variance pharmacokinetic data with application to drug-drug interaction prediction.

Yu M, Kim S, Wang Z, Hall S, Li L.

J Biopharm Stat. 2008;18(6):1063-83. doi: 10.1080/10543400802369004.

15.

MCMC for hidden Markov models incorporating aggregation of states and filtering.

Rosales RA.

Bull Math Biol. 2004 Sep;66(5):1173-99.

PMID:
15294422
16.

A Bayesian approach to DNA sequence segmentation.

Boys RJ, Henderson DA.

Biometrics. 2004 Sep;60(3):573-81; discussion 581-8.

PMID:
15339274
17.
18.

Fitting genetic models using Markov Chain Monte Carlo algorithms with BUGS.

van den Berg SM, Beem L, Boomsma DI.

Twin Res Hum Genet. 2006 Jun;9(3):334-42.

PMID:
16790144
19.

Pharmacokinetic parameters estimation using adaptive Bayesian P-splines models.

Jullion A, Lambert P, Beck B, Vandenhende F.

Pharm Stat. 2009 Apr-Jun;8(2):98-112. doi: 10.1002/pst.336.

PMID:
18481279
20.

Population forecasts for Bangladesh, using a Bayesian methodology.

Mahsin M, Hossain SS.

J Health Popul Nutr. 2012 Dec;30(4):456-63.

Format
Items per page
Sort by

Send to:

Choose Destination

Supplemental Content

Write to the Help Desk