Special Issue: Meta-regression Analysis
Author : Colin J. Roberts
Publisher :
Page : 239 pages
File Size : 15,61 MB
Release : 2005
Category :
ISBN :
Meta-regression Analysis in Economics and Business
Author : T. D. Stanley
Publisher : Routledge
Page : 202 pages
File Size : 19,68 MB
Release : 2012
Category : Business & Economics
ISBN : 0415670780
Book Description
Meta-Regression Analysis in Economics and Business is the first text devoted to the meta-regression analysis (MRA) of economics and business research.
Doing Meta-Analysis with R
Author : Mathias Harrer
Publisher : CRC Press
Page : 500 pages
File Size : 31,74 MB
Release : 2021-09-15
Category : Mathematics
ISBN : 1000435636
Book Description
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
Cochrane Handbook for Systematic Reviews of Interventions
Author : Julian P. T. Higgins
Publisher : Wiley
Page : 672 pages
File Size : 17,94 MB
Release : 2008-11-24
Category : Medical
ISBN : 9780470699515
Book Description
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.
Meta-Regression Analysis in Economics and Business
Author : T.D. Stanley
Publisher : Routledge
Page : 201 pages
File Size : 25,11 MB
Release : 2012-08-21
Category : Business & Economics
ISBN : 1136279393
Book Description
The purpose of this book is to introduce novice researchers to the tools of meta-analysis and meta-regression analysis and to summarize the state of the art for existing practitioners. Meta-regression analysis addresses the rising "Tower of Babel" that current economics and business research has become. Meta-analysis is the statistical analysis of previously published, or reported, research findings on a given hypothesis, empirical effect, phenomenon, or policy intervention. It is a systematic review of all the relevant scientific knowledge on a specific subject and is an essential part of the evidence-based practice movement in medicine, education and the social sciences. However, research in economics and business is often fundamentally different from what is found in the sciences and thereby requires different methods for its synthesis—meta-regression analysis. This book develops, summarizes, and applies these meta-analytic methods.
Introduction to Meta-Analysis
Author : Michael Borenstein
Publisher : John Wiley & Sons
Page : 350 pages
File Size : 46,59 MB
Release : 2011-08-24
Category : Medical
ISBN : 1119964377
Book Description
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
Meta-Analysis
Author : Shahjahan Khan
Publisher : Springer Nature
Page : 294 pages
File Size : 45,97 MB
Release : 2020-10-27
Category : Medical
ISBN : 9811550328
Book Description
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.
Advances in Meta-Analysis
Author : Terri Pigott
Publisher : Springer Science & Business Media
Page : 166 pages
File Size : 17,22 MB
Release : 2012-01-31
Category : Mathematics
ISBN : 1461422779
Book Description
The subject of the book is advanced statistical analyses for quantitative research synthesis (meta-analysis), and selected practical issues relating to research synthesis that are not covered in detail in the many existing introductory books on research synthesis (or meta-analysis). Complex statistical issues are arising more frequently as the primary research that is summarized in quantitative syntheses itself becomes more complex, and as researchers who are conducting meta-analyses become more ambitious in the questions they wish to address. Also as researchers have gained more experience in conducting research syntheses, several key issues have persisted and now appear fundamental to the enterprise of summarizing research. Specifically the book describes multivariate analyses for several indices commonly used in meta-analysis (e.g., correlations, effect sizes, proportions and/or odds ratios), will outline how to do power analysis for meta-analysis (again for each of the different kinds of study outcome indices), and examines issues around research quality and research design and their roles in synthesis. For each of the statistical topics we will examine the different possible statistical models (i.e., fixed, random, and mixed models) that could be adopted by a researcher. In dealing with the issues of study quality and research design it covers a number of specific topics that are of broad concern to research synthesists. In many fields a current issue is how to make sense of results when studies using several different designs appear in a research literature (e.g., Morris & Deshon, 1997, 2002). In education and other social sciences a critical aspect of this issue is how one might incorporate qualitative (e.g., case study) research within a synthesis. In medicine, related issues concern whether and how to summarize observational studies, and whether they should be combined with randomized controlled trials (or even if they should be combined at all). For each topic, included is a worked example (e.g., for the statistical analyses) and/or a detailed description of a published research synthesis that deals with the practical (non-statistical) issues covered.
Special Issues in Hypertension
Author : Adel E. Berbari
Publisher : Springer Science & Business Media
Page : 518 pages
File Size : 49,46 MB
Release : 2012-12-22
Category : Medical
ISBN : 8847026016
Book Description
This book is not intended as a full detailed report on hypertension and related disorders, but instead focuses on particular issues in hypertension. It looks at emerging recently described forms of hypertension that are frequently encountered in clinical practice (prehypertension, white-coat and masked hypertension, hypertension in the elderly) and discusses novel aspects of target organ disease (for example, cognitive impairment, dementia, and sexual dysfunction), and changing concepts in the management of hypertension and antihypertensive pharmacotherapy. It also looks at specific topics that are rarely discussed in books, including hypertension control in postmenopausal women on hormonal replacement therapy, Ramadan fasting, painful inflammatory disorders, and aldosterone escape. Finally, it examines newer cardiovascular risk factors (for example, uric acid, circadian blood pressure changes, blood pressure variability).
Meta-Analytic Research in Management
Author : James G. Combs
Publisher :
Page : 0 pages
File Size : 27,8 MB
Release : 2018
Category :
ISBN :
Book Description
Early meta-analyses in management research sought primarily to resolve seemingly conflicting findings by estimating a relationship's population-level effect size. Since then, management researchers have adopted increasingly sophisticated approaches that permit new theorizing, testing and comparing sophisticated models, and identifying boundary conditions. We summarize three of these approaches - i.e., qualitative meta-analysis (QMA), meta-analytic structural equation modeling (MASEM), and meta-analytic regression analysis (MARA) - along with the special issue papers that adopt each approach. We conclude by raising three unresolved controversies that we believe deserve more attention and by offering our thoughts about how to maximize a meta-analytic study's chances for publication and impact.
