Meta-Analysis: Methods for Health and Experimental Studies

This book provides a step-by-step guide to performing hands-on meta-analysis using MetaXL, a free add-on to MS Excel, with illustrative examples from medical and health sciences studies. It covers commonly used meta-analytic methods and models, as well as special topics like meta-regression and publication bias. The main attraction is its simplicity and straightforwardness in conducting actual meta-analysis, making it accessible to researchers.

Format: Paperback / softback
Length: 293 pages
Publication date: 28 October 2021
Publisher: Springer Verlag, Singapore

This comprehensive book delves into the realm of conducting hands-on meta-analysis using the versatile MetaXL add-on for Microsoft Excel. While the illustrative examples primarily originate from medical and health sciences studies, the generic methods outlined herein are applicable to meta-analysis across various disciplines. The book adopts a step-by-step approach to facilitate meta-analyses and interpret the resulting findings. Additionally, Stata codes for meta-analyses are provided, offering a practical guide for those seeking to employ these techniques.

Covering a wide range of meta-analytic methods and models, including the fixed effect model, random effects model, inverse variance heterogeneity model, and quality effect model, this book aims to establish confidence intervals for the effect size measures of independent primary studies and the pooled study. Moreover, the book delves into special topics such as meta-regression, dose-response meta-analysis, and publication bias, expanding its scope to encompass a diverse array of meta-analytic applications.

The primary allure of this book lies in its simplicity and straightforwardness, making it an invaluable resource for researchers seeking to conduct actual meta-analysis using MetaXL. By identifying the underlying effect measure, readers can easily locate comprehensive information on meta-analysis of any particular effect size within a dedicated chapter. Furthermore, the book enables readers to explore the results under different models and select the most appropriate model to obtain accurate and reliable outcomes.

In summary, this comprehensive book offers a valuable guide for researchers and practitioners interested in meta-analysis, providing a practical and accessible approach to leveraging MetaXL for effective data analysis and interpretation.

Weight: 474g
Dimension: 235 x 155 (mm)
ISBN-13: 9789811550348
Edition number: 1st ed. 2020