Introduction to Analysing Repeated Measures Data
Training session with Dr Helen Brown, Senior Statistician, at The Roslin Institute, March 2016.
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These training sessions were given to staff and research students at the Roslin Institute. The material is also used for the Animal Biosciences MSc course taught at the Institute.
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*Recommended YouTube playback settings for the best viewing experience:  1080p HD
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Content:
Significance Testing for Fixed Effects
- Base on ‘Wald’ F and t tests
- Degrees of freedom (DF) for these tests should:-
--- Correspond to the variance of contrast
--- Reflect all sources of variability
- Complete data at each time point:-
--- F is ratio of mean squares
--- DF then corresponds to DF of patient or residual
- Unbalanced data :-
--- DF less straightforward to calculate
--- Satterthwaite’s approximation available

SAS Output: Model 6
SAS Output: Treatment means and differences
SAS Output: Treatment means at each post-treatment visit
Comparing treatment differences (SE) between Models 1 and 6