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Reviewing and assessing existing meta-analysis models and tools.

Funmilayo L Makinde1, Milaine S S Tchamga2, James Jafali3

  • 1Computational Biology Division at University of Cape Town in collaboration with the African Institute for Mathematical Sciences (AIMS), South Africa.

Briefings in Bioinformatics
|August 20, 2021
PubMed
Summary

Meta-analysis enhances biomarker discovery by combining multiple studies, increasing statistical power. This review surveys methods to guide researchers in selecting optimal tools for their data and aids developers in creating new integrative approaches.

Keywords:
cohort studydata integrationexperimental studymeta-analysispredictive powersample size

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