Random effect modelling of great tit nesting behaviour.

Random effect modelling of great tit nesting behaviour.

Using complex random effect models in epidemiology and ecology.

Using complex random effect models in epidemiology and ecology.

Using complex random effect models in epidemiology and ecology.

Using SMCMC for normal response multilevel models.

Using complex random effect models in epidemiology and ecology.

Using complex random effect models in epidemiology and ecology.

Sample size calculations in multilevel modelling.

Random effect modelling of great tit nesting behaviour.

MCMC Estimation for Random Effect Modelling - The MLwiN experience

MCMC Estimation for Random Effect Modelling - The MLwiN experience

Partitioning of Variance in Multilevel Models.

Partitioning of Variance in Multilevel Models.

Using cross-classified multivariate mixed response models with applications to life-history traits in great tits (Parus major)

Overheads (David Draper - to appear)

Overheads (William Browne)

Verona overhead slides - complete set.

- Thursday a.m. Introduction to multilevel modelling (Andy Jones)
- Thursday a.m. Random intercepts and slopes - recap (William Browne)
- Thursday p.m. Residuals - introduction (William Browne)
- Thursday p.m. Contextual effects - recap (William Browne)
- Thursday p.m. Variance functions - introduction (William Browne)
- Thursday p.m. Modelling discrete response data (Andy Jones)
- Friday a.m. Fitting multivariate models (Andy Jones)
- Friday a.m. MCMC estimation (William Browne)
- Friday p.m. Introduction to non-hierarchical multilevel models (William Browne)
- Friday p.m. Cross classified models chapter (William Browne)
- Friday p.m. Multiple-membership models chapter (William Browne)

MCMC Estimation of multilevel models in * MLwiN*

An Introduction to Bayesian Multilevel (Hierarchical)
Modelling using *MLwiN*

*MLwiN* : Software for Multilevel Modelling

and Trinity College Dublin, February 2002.

Using the WinBUGS interface in * MLwiN*

MCMC Estimation of Multilevel Models in the * MLwiN* software
package

Verona overhead slides - complete set

- Thursday a.m. Introduction to multilevel modelling (Andy Jones)
- Thursday a.m. Random intercepts and slopes - recap (William Browne)
- Thursday p.m. Residuals - introduction (William Browne)
- Thursday p.m. Contextual effects - recap (William Browne)
- Thursday p.m. Variance functions - introduction (William Browne)
- Thursday p.m. Modelling discrete response data (Andy Jones)
- Friday a.m. Fitting multivariate models (Andy Jones)
- Friday a.m. MCMC estimation (William Browne)
- Friday p.m. Introduction to non-hierarchical multilevel models (William Browne)

An Introduction to Hierarchical, Cross-Classified and Multiple Membership Models

The following three files are *MLwiN* macros for the bivariate response example
given in the overheads. Please download all three files to the same directory.

- Gibbs macro (gibbs.txt)
- Metropolis macro (metro.txt)
- Additional file for metropolis macro (likelihood.txt)

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