11.Meta analysis12.Meta meta analysis - sporedata/researchdesigneR GitHub Wiki

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

  • A meta-meta-analysis is a meta-analysis of multiple meta-analyses.[1]
  • The results of original meta-analyses are sometimes combined for the purpose of a re-assessment of the pitfalls of the original meta-analyses with increased power.[1]
  • Meta-analyses of meta-analyses are sometimes performed for meta-learning purposes.[1]

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

3. Algorithm: how does the method work?

Model mechanics

Reporting guidelines

Data science packages

Suggested companion methods

  • Improved instrument selection is the goal of the COSMIN program (COnsensus-based Standards for the selection of health Measurement Instruments). The COSMIN checklist is designed to assess the methodology of research on the measuring characteristics of HR-PROs. These tools take measurements of multidimensional, imprecisely quantifiable constructs. Because the criteria for measuring qualities vary according on the use of the instrument, the specification of evaluation is essential. In contrast to those used for discriminating, instruments used for evaluation must be responsive.. [2]

  • The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) 2020 statement is designed to be used in systematic reviews that either do or do not involve synthesis (using techniques like pairwise meta-analysis or other statistical synthesis approaches) (for example, because only one eligible study is identified) [3].

    • The PRISMA 2020 statement enables reviewers to transparently report what the authors did, what they found, and why the review was done. Its 27-item checklist details reporting recommendations for each item that reflects advances in methods to identify, select, appraise, and synthesise studies, thus aiding authors to improve on the reporting of equity systematic reviews and meta-analyses [4].

    • Mixed-methods systematic reviews, which incorporate both quantitative and qualitative studies, should adhere to the PRISMA 2020 items, but reporting guidelines regarding the presentation and synthesis of qualitative data should also be examined [3].

Learning materials

  1. Books *
  2. Articles *

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

Mock conclusions or most frequent format for conclusions reached at the end of a typical analysis.

Tables, plots, and their interpretation

5. SporeData-specific

Templates

Data science functions

References

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