How to conduct meta-analysis: a basic tutorial (2017)
Meta analysis refers to a process of integration of the results of many studies to arrive at evidence syn- thesis. Meta analysis is similar to systematic review; however, in addition to narrative summary that is conducted in systematic review, in meta analysis, the analysts also numerically pool the results of the studies and arrive at a summary estimate. In this paper, we discuss the key steps of conducting a meta analysis. We will discuss the steps of a simple meta-analysis with a demonstration of the key steps based on a published paper on meta-analysis and systematic review of the effectiveness of salt restricted diet on blood pressure control. This paper is a basic introduction to the process of meta-analysis. In subsequent papers in this series, we will show how you can conduct meta-analysis of diagnostic and screening studies, network meta analyses, and those of diagnostic and screening studies.
CitationBasu A (2017). How to conduct meta-analysis: a basic tutorial. PeerJ Preprints. 5. e2978v1-e2978v1.
This citation is automatically generated and may be unreliable. Use as a guide only.
ANZSRC Fields of Research08 - Information and Computing Sciences::0807 - Library and Information Studies::080702 - Health Informatics
11 - Medical and Health Sciences::1117 - Public Health and Health Services::111711 - Health Information Systems (incl. Surveillance)
11 - Medical and Health Sciences::1102 - Cardiovascular Medicine and Haematology
Showing items related by title, author, creator and subject.
Marek L; Hobbs M; Campbell, Malcolm (Wiley, 2021)Acknowledging a paucity of emerging research, and some variation by sub‐field, the geographical measures of exposure used in health and medical geography have largely stagnated often focusing on residence‐based (‘static’) ...
Basu A (2017)Meta analysis refers to a process of integration of the results of many studies to arrive at evidence syn- thesis. Meta analysis is similar to systematic review; however, in addition to narrative summary that is conducted ...
Basu, A. (University of Canterbury. School of Health Sciences, 2016)Challenge: Construct a predictive model using SNP data from GWAS studies to predict and model diseases and health outcomes? [Genetic Prediction for Illness]