Overview
- Explains how to perform meta-analysis using the easy-to-use statistical package MetaXL, a free add-on to MS Excel
- Includes lesser-known models such as inverse variance heterogeneity and quality effect
- Allows the reader to understand the statistical reasoning and methods behind meta-analysis, within the framework of systematic review and evidence-based decision-making
- Makes it easy to compare results of meta-analyses based on different models
Part of the book series: Statistics for Biology and Health (SBH)
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Table of contents (13 chapters)
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Front Matter
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Introduction to Systematic Review and Meta-Analysis
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Front Matter
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Meta-Analysis for Binary Outcomes
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Front Matter
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Meta-Analysis for Continuous Outcomes
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Front Matter
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Special Topics in Meta-Analysis
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Front Matter
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Back Matter
Keywords
- Meta-Analysis
- MetaXL
- Statistical Meta-Analysis
- Medical Meta-Analysis
- Effect Size Measures
- Systematic Review
- Evidence-Based Decision-Making
- Confidence Interval
- Pooling of Effects
- P-value
- Publication Bias
- Heterogeneous Effect Sizes
- Randomized Control Trials
- Fixed Effect Model
- Random Effects Model
- Inverse Variance Weighting
- Inverse Variance Heterogeneity Model
- Quality Effect Model
About this book
This book focuses on performing hands-on meta-analysis using MetaXL, a free add-on to MS Excel. The illustrative examples are taken mainly from medical and health sciences studies, but the generic methods can be used to perform meta-analysis on data from any other discipline. The book adopts a step-by-step approach to perform meta-analyses and interpret the results. Stata codes for meta-analyses are also provided.
All popularly used meta-analytic methods and models – such as the fixed effect model, random effects model, inverse variance heterogeneity model, and quality effect model – are used to find the confidence interval for the effect size measure of independent primary studies and the pooled study. In addition to the commonly used meta-analytic methods for various effect size measures, the book includes special topics such as meta-regression, dose-response meta-analysis, and publication bias.
The main attraction for readers is the book’s simplicity and straightforwardness in conducting actual meta-analysis using MetaXL. Researchers would easily find everything on meta-analysis of any particular effect size in one specific chapter once they could determine the underlying effect measure. Readers will be able to see the results under different models and also will be able to select the correct model to obtain accurate results.
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Authors and Affiliations
About the author
Bibliographic Information
Book Title: Meta-Analysis
Book Subtitle: Methods for Health and Experimental Studies
Authors: Shahjahan Khan
Series Title: Statistics for Biology and Health
DOI: https://doi.org/10.1007/978-981-15-5032-4
Publisher: Springer Singapore
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2020
Hardcover ISBN: 978-981-15-5031-7Published: 28 October 2020
Softcover ISBN: 978-981-15-5034-8Published: 28 October 2021
eBook ISBN: 978-981-15-5032-4Published: 27 October 2020
Series ISSN: 1431-8776
Series E-ISSN: 2197-5671
Edition Number: 1
Number of Pages: XIV, 293
Number of Illustrations: 13 b/w illustrations, 66 illustrations in colour
Topics: Statistics for Life Sciences, Medicine, Health Sciences, Biostatistics, Research Skills, Research Methodology, Statistics for Social Sciences, Humanities, Law