Subgroup analysis
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- Dominant language
- R
- Stars
- 21
- Forks
- 12
- PR merge metrics
- No merged PRs in 30d
Description
Does rbmi already support subgroup analysis?
What is the best way of performing subgroup analysis with rbmi?
If one would like to basically perform a (baseline) subgroup analysis (let's see by gender) of the primary analysis. Is that correct to consider a three-way interaction treatment-visit-gender in the imputation step and a two way interaction 'treatment-gender' in the 'analysis' (ANCOVA) step? Would, in this case, the output from analysis() contain the treatment effect with each subgroup (and would then these estimates be pooled in the pool() function)?
Once this is solved, should we add an example in the advanced vignette?
Contributor guide
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by reading the advanced vignette and the documented usage of rbmi's analysis() and pool() functions. Determine whether subgroup analysis is already supported and what treatment, visit, and gender terms are appropriate in the imputation and analysis steps. Done means providing a settled answer and, if applicable, adding a clear advanced-vignette example.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- r
- Domain
- data, documentation
- Issue type
- Documentation
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100