Statistical Methods For Meta Analysis

Statistical Methods For Meta Analysis Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Statistical Methods For Meta Analysis book. This book definitely worth reading, it is an incredibly well-written.

Statistical Methods for Meta-Analysis

Author : Larry V. Hedges,Ingram Olkin
Publisher : Academic Press
Page : 369 pages
File Size : 52,5 Mb
Release : 2014-06-28
Category : Mathematics
ISBN : 9780080570655

Get Book

Statistical Methods for Meta-Analysis by Larry V. Hedges,Ingram Olkin Pdf

The main purpose of this book is to address the statistical issues for integrating independent studies. There exist a number of papers and books that discuss the mechanics of collecting, coding, and preparing data for a meta-analysis , and we do not deal with these. Because this book concerns methodology, the content necessarily is statistical, and at times mathematical. In order to make the material accessible to a wider audience, we have not provided proofs in the text. Where proofs are given, they are placed as commentary at the end of a chapter. These can be omitted at the discretion of the reader. Throughout the book we describe computational procedures whenever required. Many computations can be completed on a hand calculator, whereas some require the use of a standard statistical package such as SAS, SPSS, or BMD. Readers with experience using a statistical package or who conduct analyses such as multiple regression or analysis of variance should be able to carry out the analyses described with the aid of a statistical package.

Doing Meta-Analysis with R

Author : Mathias Harrer,Pim Cuijpers,Toshi A. Furukawa,David D. Ebert
Publisher : CRC Press
Page : 500 pages
File Size : 48,8 Mb
Release : 2021-09-15
Category : Mathematics
ISBN : 9781000435634

Get Book

Doing Meta-Analysis with R by Mathias Harrer,Pim Cuijpers,Toshi A. Furukawa,David D. Ebert Pdf

Doing Meta-Analysis with R: A Hands-On Guide serves as an accessible introduction on how meta-analyses can be conducted in R. Essential steps for meta-analysis are covered, including calculation and pooling of outcome measures, forest plots, heterogeneity diagnostics, subgroup analyses, meta-regression, methods to control for publication bias, risk of bias assessments and plotting tools. Advanced but highly relevant topics such as network meta-analysis, multi-three-level meta-analyses, Bayesian meta-analysis approaches and SEM meta-analysis are also covered. A companion R package, dmetar, is introduced at the beginning of the guide. It contains data sets and several helper functions for the meta and metafor package used in the guide. The programming and statistical background covered in the book are kept at a non-expert level, making the book widely accessible. Features • Contains two introductory chapters on how to set up an R environment and do basic imports/manipulations of meta-analysis data, including exercises • Describes statistical concepts clearly and concisely before applying them in R • Includes step-by-step guidance through the coding required to perform meta-analyses, and a companion R package for the book

Statistical Meta-Analysis with Applications

Author : Joachim Hartung,Guido Knapp,Bimal K. Sinha
Publisher : John Wiley & Sons
Page : 248 pages
File Size : 48,7 Mb
Release : 2011-09-20
Category : Medical
ISBN : 9781118210963

Get Book

Statistical Meta-Analysis with Applications by Joachim Hartung,Guido Knapp,Bimal K. Sinha Pdf

An accessible introduction to performing meta-analysis acrossvarious areas of research The practice of meta-analysis allows researchers to obtainfindings from various studies and compile them to verify and formone overall conclusion. Statistical Meta-Analysis with Applicationspresents the necessary statistical methodologies that allow readersto tackle the four main stages of meta-analysis: problemformulation, data collection, data evaluation, and data analysisand interpretation. Combining the authors' expertise on the topicwith a wealth of up-to-date information, this book successfullyintroduces the essential statistical practices for making thoroughand accurate discoveries across a wide array of diverse fields,such as business, public health, biostatistics, and environmentalstudies. Two main types of statistical analysis serve as the foundationof the methods and techniques: combining tests of effect size andcombining estimates of effect size. Additional topics coveredinclude: Meta-analysis regression procedures Multiple-endpoint and multiple-treatment studies The Bayesian approach to meta-analysis Publication bias Vote counting procedures Methods for combining individual tests and combining individualestimates Using meta-analysis to analyze binary and ordinal categoricaldata Numerous worked-out examples in each chapter provide the readerwith a step-by-step understanding of the presented methods. Allexercises can be computed using the R and SAS software packages,which are both available via the book's related Web site. Extensivereferences are also included, outlining additional sources forfurther study. Requiring only a working knowledge of statistics, StatisticalMeta-Analysis with Applications is a valuable supplement forcourses in biostatistics, business, public health, and socialresearch at the upper-undergraduate and graduate levels. It is alsoan excellent reference for applied statisticians working inindustry, academia, and government.

Cochrane Handbook for Systematic Reviews of Interventions

Author : Julian P. T. Higgins,Sally Green
Publisher : Wiley
Page : 672 pages
File Size : 42,6 Mb
Release : 2008-11-24
Category : Medical
ISBN : 0470699515

Get Book

Cochrane Handbook for Systematic Reviews of Interventions by Julian P. T. Higgins,Sally Green Pdf

Healthcare providers, consumers, researchers and policy makers are inundated with unmanageable amounts of information, including evidence from healthcare research. It has become impossible for all to have the time and resources to find, appraise and interpret this evidence and incorporate it into healthcare decisions. Cochrane Reviews respond to this challenge by identifying, appraising and synthesizing research-based evidence and presenting it in a standardized format, published in The Cochrane Library (www.thecochranelibrary.com). The Cochrane Handbook for Systematic Reviews of Interventions contains methodological guidance for the preparation and maintenance of Cochrane intervention reviews. Written in a clear and accessible format, it is the essential manual for all those preparing, maintaining and reading Cochrane reviews. Many of the principles and methods described here are appropriate for systematic reviews applied to other types of research and to systematic reviews of interventions undertaken by others. It is hoped therefore that this book will be invaluable to all those who want to understand the role of systematic reviews, critically appraise published reviews or perform reviews themselves.

Handbook of Meta-Analysis

Author : Christopher H. Schmid,Theo Stijnen,Ian White
Publisher : CRC Press
Page : 570 pages
File Size : 51,8 Mb
Release : 2020-09-07
Category : Mathematics
ISBN : 9781498703994

Get Book

Handbook of Meta-Analysis by Christopher H. Schmid,Theo Stijnen,Ian White Pdf

1. Provides a comprehensive overview of meta-analysis methods and applications. 2. Divided into four major sub-topics, covering univariate meta-analysis, multivariate, applications and policy. 3. Designed to be suitable for graduate students and researchers new to the field. 4. Includes lots of real examples, with data and software code made available. 5. Chapters written by the leading researchers in the field.

Meta-analysis

Author : Ralf Schulze
Publisher : Hogrefe Publishing
Page : 264 pages
File Size : 43,6 Mb
Release : 2004
Category : Meta-Analysis
ISBN : STANFORD:36105114317055

Get Book

Meta-analysis by Ralf Schulze Pdf

Meta-analysis has become the standard method for summarizing research findings in many scientific fields. This book provides a comprehensive treatment and comparison of the statistical procedures available for meta-analysis with correlations as effect sizes.

Meta-Analysis

Author : Shahjahan Khan
Publisher : Springer Nature
Page : 294 pages
File Size : 49,6 Mb
Release : 2020-10-27
Category : Medical
ISBN : 9789811550324

Get Book

Meta-Analysis by Shahjahan Khan Pdf

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.

From Experimental Network to Meta-analysis

Author : David Makowski,François Piraux,François Brun
Publisher : Springer
Page : 155 pages
File Size : 49,7 Mb
Release : 2019-05-07
Category : Technology & Engineering
ISBN : 9789402416961

Get Book

From Experimental Network to Meta-analysis by David Makowski,François Piraux,François Brun Pdf

This book has been designed as a methodological guide and shows the interests and limitations of different statistical methods to analyze data from experimental networks and to perform meta-analyses. It is intended for engineers, students and researchers involved in data analysis in agronomy and environmental science.

Introduction to Meta-Analysis

Author : Larry V. Hedges,Julian P. T. Higgins,Hannah R. Rothstein,Michael Borenstein
Publisher : John Wiley & Sons
Page : 434 pages
File Size : 44,5 Mb
Release : 2011-08-24
Category : Medical
ISBN : 9781119964377

Get Book

Introduction to Meta-Analysis by Larry V. Hedges,Julian P. T. Higgins,Hannah R. Rothstein,Michael Borenstein Pdf

This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. Meta-analysis has become a critically important tool in fields as diverse as medicine, pharmacology, epidemiology, education, psychology, business, and ecology. Introduction to Meta-Analysis: Outlines the role of meta-analysis in the research process Shows how to compute effects sizes and treatment effects Explains the fixed-effect and random-effects models for synthesizing data Demonstrates how to assess and interpret variation in effect size across studies Clarifies concepts using text and figures, followed by formulas and examples Explains how to avoid common mistakes in meta-analysis Discusses controversies in meta-analysis Features a web site with additional material and exercises A superb combination of lucid prose and informative graphics, written by four of the world’s leading experts on all aspects of meta-analysis. Borenstein, Hedges, Higgins, and Rothstein provide a refreshing departure from cookbook approaches with their clear explanations of the what and why of meta-analysis. The book is ideal as a course textbook or for self-study. My students, who used pre-publication versions of some of the chapters, raved about the clarity of the explanations and examples. David Rindskopf, Distinguished Professor of Educational Psychology, City University of New York, Graduate School and University Center, & Editor of the Journal of Educational and Behavioral Statistics. The approach taken by Introduction to Meta-analysis is intended to be primarily conceptual, and it is amazingly successful at achieving that goal. The reader can comfortably skip the formulas and still understand their application and underlying motivation. For the more statistically sophisticated reader, the relevant formulas and worked examples provide a superb practical guide to performing a meta-analysis. The book provides an eclectic mix of examples from education, social science, biomedical studies, and even ecology. For anyone considering leading a course in meta-analysis, or pursuing self-directed study, Introduction to Meta-analysis would be a clear first choice. Jesse A. Berlin, ScD Introduction to Meta-Analysis is an excellent resource for novices and experts alike. The book provides a clear and comprehensive presentation of all basic and most advanced approaches to meta-analysis. This book will be referenced for decades. Michael A. McDaniel, Professor of Human Resources and Organizational Behavior, Virginia Commonwealth University

Individual Participant Data Meta-Analysis

Author : Richard D. Riley,Jayne F. Tierney,Lesley A. Stewart
Publisher : John Wiley & Sons
Page : 38 pages
File Size : 55,9 Mb
Release : 2021-06-08
Category : Medical
ISBN : 9781119333722

Get Book

Individual Participant Data Meta-Analysis by Richard D. Riley,Jayne F. Tierney,Lesley A. Stewart Pdf

Individual Participant Data Meta-Analysis: A Handbook for Healthcare Research provides a comprehensive introduction to the fundamental principles and methods that healthcare researchers need when considering, conducting or using individual participant data (IPD) meta-analysis projects. Written and edited by researchers with substantial experience in the field, the book details key concepts and practical guidance for each stage of an IPD meta-analysis project, alongside illustrated examples and summary learning points. Split into five parts, the book chapters take the reader through the journey from initiating and planning IPD projects to obtaining, checking, and meta-analysing IPD, and appraising and reporting findings. The book initially focuses on the synthesis of IPD from randomised trials to evaluate treatment effects, including the evaluation of participant-level effect modifiers (treatment-covariate interactions). Detailed extension is then made to specialist topics such as diagnostic test accuracy, prognostic factors, risk prediction models, and advanced statistical topics such as multivariate and network meta-analysis, power calculations, and missing data. Intended for a broad audience, the book will enable the reader to: Understand the advantages of the IPD approach and decide when it is needed over a conventional systematic review Recognise the scope, resources and challenges of IPD meta-analysis projects Appreciate the importance of a multi-disciplinary project team and close collaboration with the original study investigators Understand how to obtain, check, manage and harmonise IPD from multiple studies Examine risk of bias (quality) of IPD and minimise potential biases throughout the project Understand fundamental statistical methods for IPD meta-analysis, including two-stage and one-stage approaches (and their differences), and statistical software to implement them Clearly report and disseminate IPD meta-analyses to inform policy, practice and future research Critically appraise existing IPD meta-analysis projects Address specialist topics such as effect modification, multiple correlated outcomes, multiple treatment comparisons, non-linear relationships, test accuracy at multiple thresholds, multiple imputation, and developing and validating clinical prediction models Detailed examples and case studies are provided throughout.

Methods of Meta-Analysis

Author : John E Hunter,Frank L. Schmidt
Publisher : SAGE
Page : 620 pages
File Size : 54,7 Mb
Release : 2004-04-07
Category : Business & Economics
ISBN : 141290479X

Get Book

Methods of Meta-Analysis by John E Hunter,Frank L. Schmidt Pdf

Covering the most important developments in meta-analysis from 1990 to 2004, this text presents new patterns in research findings as well as updated information on existing topics.

Meta-Analysis with R

Author : Guido Schwarzer,James R. Carpenter,Gerta Rücker
Publisher : Springer
Page : 252 pages
File Size : 40,5 Mb
Release : 2015-10-08
Category : Medical
ISBN : 9783319214160

Get Book

Meta-Analysis with R by Guido Schwarzer,James R. Carpenter,Gerta Rücker Pdf

This book provides a comprehensive introduction to performing meta-analysis using the statistical software R. It is intended for quantitative researchers and students in the medical and social sciences who wish to learn how to perform meta-analysis with R. As such, the book introduces the key concepts and models used in meta-analysis. It also includes chapters on the following advanced topics: publication bias and small study effects; missing data; multivariate meta-analysis, network meta-analysis; and meta-analysis of diagnostic studies.

Meta-Analysis

Author : Jonathan Sterne
Publisher : Stata Press
Page : 0 pages
File Size : 47,7 Mb
Release : 2009-03-18
Category : Mathematics
ISBN : 1597180491

Get Book

Meta-Analysis by Jonathan Sterne Pdf

This collection provides detailed descriptions of both standard and advanced meta-analytic methods and their implementation in Stata. Readers will gain access to the statistical methods behind the rapid increase in the number of meta-analyses reported in the social science and medical literature. The book shows how to conduct and interpret meta-analyses as well as produce highly flexible graphical displays. Using meta-regression, it examines reasons for between-study variability in effect estimates. The book also employs advanced methods for the meta-analysis of diagnostic test accuracy studies, dose-response meta-analysis, meta-analysis with missing data, and multivariate meta-analysis.

Methods for Meta-Analysis in Medical Research

Author : A. J. Sutton
Publisher : John Wiley & Sons
Page : 360 pages
File Size : 47,7 Mb
Release : 2000-12-19
Category : Mathematics
ISBN : UOM:39015058733901

Get Book

Methods for Meta-Analysis in Medical Research by A. J. Sutton Pdf

With meta-analysis methods playing a crucial role in health research in recent years, this important and clearly-written book provides a much-needed survey of the field. Meta-analysis provides a framework for combining the results of several clinical trials and drawing inferences about the effectiveness of medical treatments. The move towards evidence-based health care and practice is underpinned by the use of meta-analysis. This book: * Provides a thorough criticism and an up-to-date survey of meta-analysis methods * Emphasises the practical approach, and illustrates the methods by numerous examples * Describes the use of Bayesian methods in meta-analysis * Includes discussion of appropriate software for each analysis * Includes numerous references to more advanced treatment of specialist topics * Refers to software code used in the examples available on the authors' Web site Practising statisticians, statistically-minded clinicians and health research professionals will benefit greatly from the clear presentation and numerous examples. Medical researchers will grasp the basic principles of meta-analysis, and learn how to apply the various methods.

Meta-Analysis

Author : Fredric M. Wolf,Fredric Marc Wolf
Publisher : SAGE
Page : 76 pages
File Size : 44,7 Mb
Release : 1986-04
Category : Social Science
ISBN : 0803927568

Get Book

Meta-Analysis by Fredric M. Wolf,Fredric Marc Wolf Pdf

Author Fredric M. Wolf explains how to use combined statistical tests and measures of effect size to synthesize the results of independent studies of a common research question.