Daily timetable - Day 1 Longitudinal & correlated data analysis

Time

Topic

Lecturer/Demonstrator

09:00 - 09:45

 

Lecture 1: Introduction to longitudinal & correlated data: paired observations

John Carlin

 

09:45 - 10:30

 

Lecture 2: Between- and within-cluster comparisons in simple cases: models and analysis

Andrew Forbes

10:30 - 10:50

Morning tea

 

10:50 - 12:30

Computer Lab 1: Introduction to mixed models and GEEs for clustered data

 John Carlin

STATA: Sam Brilleman, Myra McGuinness

R: Alysha De Livera

12:30 - 13:30

Lunch

 

13:30 - 14:15

 

Lecture 3: Exploratory and simple summary measures approaches

John Carlin

14:15 - 15:00

 

Lecture 4: Generalised estimating equations (GEE) with continuous outcomes

Andrew Forbes

15:00 - 15:20

Afternoon tea

 

15:20 - 16:45

Computer Lab 2: Summary measures approach and marginal modelling

 Andrew Forbes

STATA: Sam Brilleman, Myra McGuinness

R: Alysha De Livera

16:45 - 17:00

Wrap-up