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:
Summary points
- Repeated measures data = measurements taken repeatedly on same individuals (eg patients, animals)
- Groups need to be compared against between patient/animal variation
- Analysis at each time point leads: to multiple testing, can cause confusing results
- ANOVA / GLM may be used with care if data complete
- Mixed models suitable even if data incomplete
--- Assesses:
----- Overall group effect across time points
----- Group effect at each time point
----- Interaction between group and time
--- May fit a pattern of correlation between time points
--- Random coefficients model if interest lies with assessing time slope