Analysis of longitudinal and correlated data

Improve the ability of health researchers to analyses correlated data.

The students are required to have Stata available on their own computer, preferably a laptop that can be used during the course and for home work.

Knowledge

After completion of the course the student should be able to:

• Perform analyses of longitudinal data where each unit of observation is observed several times
• Know about methods for analysis of data with correlation between observations like data from cluster-randomized studies
• Know alternatives with robust estimation of variances, random intercept and GEE

Skills

After completion of the course the student should be able to:

• Analyze data with simple correlation structures
• Restructure data from wide- to long-format
• Perform relevant regression analyses with the statistical software Stata

General skills

After completion of the course the student should be able to:

• Understand when statistical analyses need to account for systematic correlation between observations