Meta-Analysis
Methods for Health and Experimental Studies
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Beschreibung
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.
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.
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
Autor*in
Shahjahan Khan
Themen in »Meta-Analysis«
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
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“The book will be a perfect guide to the interested undergraduate student with an aptitude for learning about evidence-based approach. Because each chapter offers application-based exercises with real data, there is no doubt that the book will capture interest of its readers from different fields and will provide hands-on experience with meta-analysis.” (Tugba Akkaya-Hocagil, Biometrics, Vol. 78 (1), March, 2022)
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