The Design and Analysis of Trials of Group Treatments
This is a project for exploring the design and analysis of trials where clustering occurs in the group therapy arm but not in the individual (control) arm, taking into account clustering effects (i.e. the between-group therapy variation), as well as the between-therapist variation (‘therapist effect’) in patient outcomes.
For trials with only partially nested data, this project aims to answer the following questions via simulation and analytical work:
- What sample size is required for trials of group therapy versus individual therapy?
- How large is the intra-cluster correlation due to group therapy?
- What are the best methods of statistical analysis to estimate the treatment effect in trials comparing group administered treatment with individual therapy?
- What are the best methods of estimating the causal effect of group administered interventions where there is non-compliance with treatment?
Duration of the project
April (2009) - March (2012)
Medical Research Council - Methodology Research Programme
Members of the project
|Chris Roberts||Principal investigator|
|Dr Steve Roberts||Co-investigator|
|Professor Graham Dunn||Co-investigator|
|Dr Eva Batistatou||Research associate|
Links to other resources
- Please follow this link to the MRC website
- Please follow this link to the clsampsi STATA program, developed by Chris Roberts and Eva Batistatou to calculate power and number of clusters/cluster sizes for trials with clustering effects
If you would like further information about this work please contact either the PI, Dr Chris Roberts (email@example.com), or the project RA, Dr Evridiki Batistatou (firstname.lastname@example.org).