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Statistics and Research Methods for Acute Care and General SurgeonsMeta-Analysis

Statistics and Research Methods for Acute Care and General Surgeons: Meta-Analysis [Meta-analysis is a statistical method allowing to combine results of two or more studies. A well-designed, planned, and performed systematic review of the literature is a fundamental prerequisite in performing meta-analysis. The present chapter will analyze all the processes involved in the development of a meta-analysis in order to make the reader able to correctly understand and interpret the results. In this chapter we will describe the literature review process and all the other passages including appropriateness definition, effect measures choice, study quality assessment, forest plot, funnel plot, sensitivity analysis, and heterogeneity.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

Statistics and Research Methods for Acute Care and General SurgeonsMeta-Analysis

Editors: Ceresoli, Marco; Abu-Zidan, Fikri M.; Staudenmayer, Kristan L.; Catena, Fausto; Coccolini, Federico

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Publisher
Springer International Publishing
Copyright
© The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022
ISBN
978-3-031-13817-1
Pages
109 –123
DOI
10.1007/978-3-031-13818-8_9
Publisher site
See Chapter on Publisher Site

Abstract

[Meta-analysis is a statistical method allowing to combine results of two or more studies. A well-designed, planned, and performed systematic review of the literature is a fundamental prerequisite in performing meta-analysis. The present chapter will analyze all the processes involved in the development of a meta-analysis in order to make the reader able to correctly understand and interpret the results. In this chapter we will describe the literature review process and all the other passages including appropriateness definition, effect measures choice, study quality assessment, forest plot, funnel plot, sensitivity analysis, and heterogeneity.]

Published: Dec 14, 2022

Keywords: Meta-analysis; Effect measure; Forest plot; Funnel plot; Heterogeneity

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