#11.Meta analysis - sporedata/researchdesigneR GitHub Wiki

Categories for meta-analysis

11.Meta-analysis01.Diagnostic
11.Meta-analysis02.Individual-participants
11.Meta-analysis03.Observational-studies
11.Meta-analysis04.Randomized-trials
11.Meta-analysis05.Qualitative-studies
11.Meta-analysis06.Scales
11.Meta-analysis07.Network-meta-analysis
11.Meta-analysis08.Scoping-reviews
11.Meta-analysis09.Rapid
11.Meta-analysis10.Realist
11.Meta-analysis11.Pragmatic 11.Meta-analysis12.Meta-meta-analysis
11.Meta-analysis13.Mapping
11.Meta-analysis14.Scanning-the-horizon

1. Use cases: In which situations should I use this method?

When there are a number of studies (therapeutic, diagnostic, etc) and a need to consolidate the literature

2. Input: What kind of data does the method require?

Multiple studies on a given topic (similar population, outcomes, intervention) or individual patient data.

3. Algorithm: How does the method work?

Model mechanics

Describing in images

Data science packages

Suggested companion methods

Machine learning for the automated finding of candidate abstracts - see Machine learning reduced workload with minimal risk of missing studies: development and evaluation of a randomized controlled trial classifier for Cochrane Reviews

Learning materials

  1. Books
  2. Articles

4. Output: How do I interpret this method's results?

Metaphors

References