Introduction to Meta-analysis

Khan, Shahjahan ORCID: https://orcid.org/0000-0002-0446-086X (2020) Introduction to Meta-analysis. In: Meta-Analysis Methods for Health and Experimental Studies. Statistics for Biology and Health. Springer Nature, Singapore, pp. 15-36. ISBN 978-981-15-5031-7


Abstract

Meta-analysis is a statistical method used to combine numerical summary results on effect size measures, extracted during the systematic review process from independent studies to synthesize a pooled result.


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Item Type: Book Chapter (Commonwealth Reporting Category B)
Refereed: Yes
Item Status: Live Archive
Faculty/School / Institute/Centre: Current - Faculty of Health, Engineering and Sciences - School of Sciences (6 Sep 2019 -)
Faculty/School / Institute/Centre: Current - Institute for Resilient Regions - Centre for Health Research (1 Apr 2020 -)
Date Deposited: 17 May 2021 04:11
Last Modified: 01 Jul 2021 23:46
Uncontrolled Keywords: statistical methods; meta-analysis; biology; health
Fields of Research (2008): 11 Medical and Health Sciences > 1199 Other Medical and Health Sciences > 119999 Medical and Health Sciences not elsewhere classified
01 Mathematical Sciences > 0104 Statistics > 010499 Statistics not elsewhere classified
11 Medical and Health Sciences > 1117 Public Health and Health Services > 111706 Epidemiology
Fields of Research (2020): 42 HEALTH SCIENCES > 4202 Epidemiology > 420204 Epidemiological methods
49 MATHEMATICAL SCIENCES > 4905 Statistics > 490510 Stochastic analysis and modelling
49 MATHEMATICAL SCIENCES > 4905 Statistics > 490599 Statistics not elsewhere classified
Socio-Economic Objectives (2008): E Expanding Knowledge > 97 Expanding Knowledge > 970111 Expanding Knowledge in the Medical and Health Sciences
E Expanding Knowledge > 97 Expanding Knowledge > 970101 Expanding Knowledge in the Mathematical Sciences
Socio-Economic Objectives (2020): 20 HEALTH > 2004 Public health (excl. specific population health) > 200499 Public health (excl. specific population health) not elsewhere classified
Identification Number or DOI: https://doi.org/10.1007/978-981-15-5032-4_2
URI: http://eprints.usq.edu.au/id/eprint/41975

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