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Introduction To Meta Analysis

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Publisher: John Wiley & Sons Incorporated
ISBN: 9780470057247
Size: 37.49 MB
Format: PDF
Category : Medical
Languages : en
Pages : 421
View: 5665


This text provides a concise and clearly presented discussion of all the elements in a meta-analysis. It is illustrated with worked examples throughout, with visual explanations, using screenshots from Excel spreadsheets and computer programs such as Comprehensive Meta-Analysis (CMA) or Strata.

Introduction To Meta Analysis

Introduction to Meta Analysis PDF

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Author: Michael Borenstein
Publisher: John Wiley & Sons
ISBN: 1119558352
Size: 47.32 MB
Format: PDF, Mobi
Category : Medical
Languages : en
Pages : 544
View: 2475


The new edition of the market-leading textbook, covering the latest developments in the rapidly growing field of meta-analysis This book provides a clear and thorough introduction to meta-analysis, the process of synthesizing data from a series of separate studies. The first edition of this text was widely acclaimed for the clarity of the presentation, and quickly established itself as the definitive text in this field. The fully updated second edition includes new and expanded content on avoiding common mistakes in meta-analysis, understanding heterogeneity in effects, publication bias, reporting the Knapp-Hartung Sidik-Jonkman adjustment, and more. Several brand-new chapters provide a systematic “how to” approach to performing and reporting a meta-analysis from start to finish. Written by four of the world’s foremost authorities on all aspects of meta-analysis, the new edition of 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 Explains how to avoid common mistakes in meta-analysis Discusses controversies in meta-analysis Includes access to a companion website containing videos, spreadsheets, data files, free software for prediction intervals, and step-by-step instructions for performing analyses using Comprehensive Meta-Analysis (CMA) ™

Introduction To Meta Analysis

Introduction to Meta analysis PDF

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Author: Michael Borenstein
Publisher:
ISBN: 9781119558378
Size: 74.61 MB
Format: PDF, ePub, Mobi
Category : Meta-analysis
Languages : en
Pages : 421
View: 1949



Cram101 Textbook Outlines To Accompany Introduction To Meta Analysis

Cram101 Textbook Outlines to Accompany  Introduction to Meta analysis PDF

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Author: Michael Borenstein
Publisher:
ISBN: 9781617441097
Size: 45.43 MB
Format: PDF, Kindle
Category :
Languages : en
Pages :
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An Introduction To Meta Analysis

An Introduction to Meta Analysis PDF

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Publisher:
ISBN: 9781473997370
Size: 22.32 MB
Format: PDF, Kindle
Category : Meta-analysis
Languages : en
Pages :
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Dr Christopher J. Carpenter introduces the concept of meta-analysis, a statistical approach to finding patterns and trends among research studies on the same topic. Meta-analysis allows the researcher to weight study results based on size, moderating variables, and other factors.

Einf Hrung In Die Festk Rperphysik

Einf  hrung in die Festk  rperphysik PDF

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Author: Charles Kittel
Publisher:
ISBN:
Size: 12.34 MB
Format: PDF, ePub
Category : Solid state physics
Languages : de
Pages : 733
View: 1978



Outlines And Highlights For Introduction To Meta Analysis By Michael Borenstein Isbn

Outlines and Highlights for Introduction to Meta Analysis by Michael Borenstein  Isbn PDF

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Author: Cram101 Textbook Reviews
Publisher: Academic Internet Pub Incorporated
ISBN: 9781617441097
Size: 29.49 MB
Format: PDF, Docs
Category : Education
Languages : en
Pages : 182
View: 1863


Never HIGHLIGHT a Book Again! Virtually all of the testable terms, concepts, persons, places, and events from the textbook are included. Cram101 Just the FACTS101 studyguides give all of the outlines, highlights, notes, and quizzes for your textbook with optional online comprehensive practice tests. Only Cram101 is Textbook Specific. Accompanys: 9780470057247 .

Meta Analysis With R

Meta Analysis with R PDF

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Author: Guido Schwarzer
Publisher: Springer
ISBN: 3319214160
Size: 27.43 MB
Format: PDF, Mobi
Category : Medical
Languages : en
Pages : 252
View: 5823


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.

Metaanalyse

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Author: Martin Eisend
Publisher:
ISBN: 9783935058773
Size: 36.51 MB
Format: PDF, Mobi
Category :
Languages : de
Pages : 40
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Common Mistakes In Meta Analysis

Common Mistakes in Meta Analysis PDF

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Author: Michael Borenstein
Publisher:
ISBN: 9781733436700
Size: 59.85 MB
Format: PDF, ePub, Mobi
Category : Meta-analysis
Languages : en
Pages : 409
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Lolita Dt

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Publisher:
ISBN:
Size: 78.13 MB
Format: PDF, ePub
Category :
Languages : en
Pages :
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Meta Analysis

Meta Analysis PDF

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Author: Shahjahan Khan
Publisher: Springer
ISBN: 9789811550317
Size: 80.87 MB
Format: PDF
Category : Medical
Languages : en
Pages : 293
View: 275


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.

An Introduction To Meta Analysis

An Introduction to Meta Analysis PDF

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ISBN:
Size: 44.98 MB
Format: PDF
Category :
Languages : en
Pages :
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Meta analysis is a statistical technique for synthesizing of results obtained from multiple studies. It is the process of combining, summarizing, and reanalyzing previous quantitative research. It yields a quantitative summary of the pooled results. Decisions of the validity of a hypothesis cannot be based on the results of a single study, because results typically vary from one study to the next. Traditional methods do not allow involving more than a few studies. Meta analysis provides certain procedures to synthesize data across studies. When the treatment effect (or effect size) is consistent from one study to the next, meta-analysis can be used to identify this common effect. When the effect varies from one study to the next, meta-analysis may be used to identify the reason for the variation. The amount of accumulated information in fast developing fields of science such as biology, medicine, education, pharmacology, physics, etc. increased very quickly after the Second World War. This lead to large amounts of literature which was not systematized. One problem in education might include ten independent studies. All of the studies might be performed by different researchers, using different techniques, and different measurements. The idea of integrating the research literature was proposed by Glass (1976, 1977). He referred it as the meta analysis of research. There are three major meta analysis approaches: combining significance levels, combining estimates of effect size for fixed effect size models and random effect size models, and vote-counting method.

Handbook Of Meta Analysis

Handbook of Meta Analysis PDF

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Author: Christopher H. Schmid
Publisher: CRC Press
ISBN: 1498703992
Size: 34.23 MB
Format: PDF, ePub
Category : Mathematics
Languages : en
Pages : 554
View: 3044


Meta-analysis is the application of statistics to combine results from multiple studies and draw appropriate inferences. Its use and importance have exploded over the last 25 years as the need for a robust evidence base has become clear in many scientific areas, including medicine and health, social sciences, education, psychology, ecology, and economics. Recent years have seen an explosion of methods for handling complexities in meta-analysis, including explained and unexplained heterogeneity between studies, publication bias, and sparse data. At the same time, meta-analysis has been extended beyond simple two-group comparisons of continuous and binary outcomes to comparing and ranking the outcomes from multiple groups, to complex observational studies, to assessing heterogeneity of effects, and to survival and multivariate outcomes. Many of these methods are statistically complex and are tailored to specific types of data. Key features Rigorous coverage of the full range of current statistical methodology used in meta-analysis Comprehensive, coherent, and unified overview of the statistical foundations behind meta-analysis Detailed description of the primary methods for both univariate and multivariate data Computer code to reproduce examples in chapters Thorough review of the literature with thousands of references Applications to specific types of biomedical and social science data This book is for a broad audience of graduate students, researchers, and practitioners interested in the theory and application of statistical methods for meta-analysis. It is written at the level of graduate courses in statistics, but will be of interest to and readable for quantitative scientists from a range of disciplines. The book can be used as a graduate level textbook, as a general reference for methods, or as an introduction to specialized topics using state-of-the art methods.

Doing Meta Analysis With R

Doing Meta Analysis with R PDF

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Author: Mathias Harrer
Publisher: CRC Press
ISBN: 1000435636
Size: 55.53 MB
Format: PDF, Docs
Category : Mathematics
Languages : en
Pages : 500
View: 2937


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

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