![]() ![]() It builds upon the major recent developments in reporting standards, search methods, and, in particular, statistical tools specifically devoted to diagnostic studies. 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.ĭiagnostic Meta-Analysis: A Useful Tool for Clinical Decision-Making by Giuseppe Biondi-Zoccai (Editor) This book is the first exclusively devoted to the systematic synthesis of diagnostic test accuracy studies. 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. The main attraction for readers is the book's simplicity and straightforwardness in conducting actual meta-analysis using MetaXL. 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. 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. Stata codes for meta-analyses are also provided. The book adopts a step-by-step approach to perform meta-analyses and interpret the results. 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. Meta-Analysis Methods for Health and Experimental Studies by Shahjahan Khan This book focuses on performing hands-on meta-analysis using MetaXL, a free add-on to MS Excel. For a meta-analysis to be valid, all included studies must be sufficiently similar. Strengths: Combines individual studies to determine overall evidence-based strength. Conclusions produced by meta-analysis are statistically stronger than the analysis of any single study, due to increased numbers of subjects, greater diversity among subjects, or accumulated effects and results.ĭrawbacks/Limitations: Combining data from disparate studies produces misleading or unreliable results. Systematic reviews and meta-analyses are undertaken by a research team rather than individual researchers to facilitate expedited review of studies and reduce researcher bias.Uses statistical methods to objectively evaluate, synthesize, and summarize results. ![]() ![]() Not all systematic reviews include meta-analysis, but all meta-analyses are found in systematic reviews.Īim: To synthesize evidence across studies to detect effects, estimate their magnitudes, and analyze the factors influencing those effects. Definition: A specialized subset of systematic reviews, meta-analysis is a statistical technique for combining the findings from disparate quantitative studies and using the pooled data to come to new statistical conclusions. ![]()
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