11.Meta analysis01.Diagnostic - sporedata/researchdesigneR GitHub Wiki

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

  • When more than two diagnostic studies can be combined while having the same population, diagnostic test, and outcome measures.

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

  • More than two diagnostic studies can be combined while having the same population, diagnostic test, and outcome measures.

3. Algorithm: how does the method work?

Model mechanics

Diagnostic meta-analyses combine previous studies evaluating diagnostic properties of a given test and then evaluating their heterogeneity and generating a single metric.

Reporting guidelines for Methods

  • Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies: The PRISMA-DTA Statement [1].

Data science packages

Suggested companion methods

Learning materials

  1. Books *
  2. Articles
    • Random-effects meta-analysis [2].

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

Reporting guidelines for Results

5. SporeData-specific

Templates

Data science functions

References

[1] McInnes MD, Moher D, Thombs BD, McGrath TA, Bossuyt PM, Clifford T, Cohen JF, Deeks JJ, Gatsonis C, Hooft L, Hunt HA. Preferred Reporting Items for a Systematic Review and Meta-analysis of Diagnostic Test Accuracy Studies: The PRISMA-DTA Statement. Jama. 2018 Jan 23;319(4):388-96.

[2] Serghiou S, Goodman SN. Random-effects meta-analysis: summarizing evidence with caveats. Jama. 2019 Jan 22;321(3):301-2.

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