Dina Research School

Monte Carlo methods for Hierarchical (Mixed) Models.

Koldkærgård Landboskole, Skejby, October 30-31 2003.

Hand-Outs

• Rasmus Waagepetersen's slides for the main lectures.
  Hand out
  
  
• Case Study 1: Estimation of sero-prevalence of paratuberculosis using mixture models with covariates. Nils Toft.
  Hand out
  
  
• Case Study 2: Loaloa prevalence in tropical Africa. Ole Fredslund Christensen
  Hand out
  
  
• Case Study 3: Preference Experiments. Erik Jørgensen
  Hand out
  
  

Recommended Books

• Dalgaard, P. (2002), Ïntroductory Statistics with R", Springer: New York, ISBN 0-387-95475-9.
  A good introduction to the use of R without too complicated use of statistics. Other books are mentioned in the R-FAQ which can be accessed via the Help Menu in R
  
  
• Gelman, A., J.B. Carlin, H. S. Stern and D. B. Rubin. 1995. Bayesian Data Analysis. in Texts in Statistical Science. Chapman & Hall, ISBN 0-4212-03991-5,
  
  
• Sorensen, D and D. Gianola. (2002) Likelihood, Bayesian and MCMC Methods in Quantitative Genetics. pp 760, Springer Verlag; ISBN 0387954406.
  
  
• Gilks, W.R., S. Richardson, and D. J. Spiegelhalter. (1996) Markov Chain Monte Carlo in Practice. Chapman & Hall, pp 486 pages.
  Collection of papers describing both methodological and applied aspects of the use of MCMC.
  
  
• Spiegelhalter, D.J., J. P. Myles, D. R. Jones, and K. R. Abrams. (2000) Bayesian methods in health technology assessment: a review. Health Technology Assessment 4 (38):1-130. Download
  Good description of the background for the use Bayesian methods.
  
  
• Spiegelhalter, D.J., K. R. Abrams, J. Myles (2003) Bayesian Approaches to Clinical Trials and Health-Care Evaluation. pp 448. Wiley. ISBN: 0-471-49975-7
  NB! publishing date December 2003. Probably an extension of the previous monograph.
  
  
• Congdon, P. (2001). Introduction to Bayesian Statistical Modelling. Wiley series in probability and statistics. ISBN 0-471-81311-7 pp 531.
  Many examples of application of Bayesian analysis. Relatively little detail about the statistical models, assumptions and model checking.
  
  

Main program files

rw1080.exe

R setup file

WinBUGS14.exe

WinBugs program. (Demo-version - To handle very large problems it is necessary to obtain a registration key from the home-page.)

Author: Erik.Jorgensen@agrsci.dk. Updated: 05 november 2003