Nordic Informatics Network in the Agricultural Sciences

Likelihood-based inference for hierarchical/mixed statistical models

Sunday 7 August:

Monday 8 August

8:00
Breakfast
9:00
Welcome and presentation
9:15
Lecture 1: Classical linear and logistic modelling
Henrik Stryhn, University of Prince Edwards Island
10:45
Break
11:15

Computer exercises: 1+2

12:00
Lunch
13:30
Lecture 2: Bayesian statistics and inference
William John Browne, University of Nottingham
14:30
Computer exercises: 3
15:30
Coffee
16:00
Lecture 3: Introduction to MCMC
William John Browne
17:00
Computer exercises: 4
18:00
Dinner
19:00
Individual review of course material or work on own data.

Tuesday 9 August

8:00
Breakfast
9:00
Lecture 4: Linear mixed models
Henrik Stryhn
10:30
Break
11:00
Computer exercises: 5+6
12:00
Lunch
13:30
Lecture 5: Advanced linear mixed modelling
Henrik Stryhn
14:30
Computer exercises: 7
15:30
Coffee
16:00
Lecture 6: Model validation for linear mixed models
Henrik Stryhn
17:00
Computer exercises: 8
18:00
Dinner
19:00
Individual review of course material or work on own data

Wednesday 10 August

8:00
Breakfast
9:00
Lecture 7: MCMC for normal response multilevel models
William John Browne
10:30
Break
11:00
Computer exercises: 9
12:00
Lunch
13:30
Lecture 8: Additional MCMC features
William John Browne
14:30
Computer exercises: 10
15:30
Coffee break
16:00
Lecture 9: Model comparison and diagnostics
William John Browne
17:15
Social event

Thursday 11 August

8:00
Breakfast
9:00
Lecture 10: Generalised linear models
Henrik Stryhn
10:00
Break
10:30
Lecture 11: Generalised linear mixed models
Henrik Stryhn
11:15
Computer exercises: 12+13
12:00
Lunch
13:30
Lecture 12: Statistical inference for GLMMs
Henrik Stryhn
14:30
Coffee
15:00
Computer exercises: 14+15
16:30
Lecture 13: Model validation and further topics
Henrik Stryhn
17:00
Computer exercises: 16
18:00
Dinner
19:00
Individual review of course material or work on own data

Friday 12 August

8:00
Breakfast
9:00
Lecture 14: Multilevel Logistic regression models and MCMC
John William Browne
10:30
Break
11:00
Computer exercises: 17
12:00
Lunch
13:30
Lecture 15: GLMM in WinBUGS
John William Browne
14:30
Computer exercises: 18
15:30
Coffee
16:00
Lecture 16: Poisson models
John William Browne
16:15
Computer exercises: 19
18:00
Dinner
19:00
Individual review of course material or work on own data

Saturday 13 August

No course activities

Sunday 14 August

8:00
Breakfast
9:00
Lecture 17: Multivariate normal response models and introduction to repeated measures
Henrik Stryhn
10:00
Break
10:30
Lecture 18: Mixed models for repeated measures
Henrik Stryhn
11:15
Computer exercises: 20+21
12:00
Lunch
13:30
Lecture 19: Discrete repeated measures and multivariate response models
Henrik Stryhn
14:30
Lecture 20: Introduction to missing data
William John Browne
15:30
Coffee
16:00
Computer exercises: 22
18:00
Dinner
19:00
Individual review of course material or work on own data

Monday 15 August

8:00
Breakfast
9:00
Lecture 21: Cross-classified and multiple membership models
Henrik Stryhn
10:30
Break
11:00
Computer exercises: 23+24
12:00
Lunch
13:30
Lecture 22: Incorporating spatial information in the standard framework
William John Browne
14:30
Computer exercises: 25
15:30
Coffee
16:00
Lecture 23: MM and CAR models for spatial data
William John Browne
17:00
Computer exercises: 26
18:00
Dinner
19:00
Individual review of course material or work on own data

Tuesday 16 August

Wednesday 17 August

Thursday 18 August

 

Dina logoAuthor: phd@dina.kvl.dk. Updated: 04 august 2005