Methods of Meta-Analysis

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Release : 2004-04-07
Genre : Business & Economics
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Book Rating : 797/5 ( reviews)

Methods of Meta-Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Methods of Meta-Analysis write by John E Hunter. This book was released on 2004-04-07. Methods of Meta-Analysis available in PDF, EPUB and Kindle. 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.

Methods for Meta-Analysis in Medical Research

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Release : 2000-12-19
Genre : Mathematics
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Methods for Meta-Analysis in Medical Research - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Methods for Meta-Analysis in Medical Research write by A. J. Sutton. This book was released on 2000-12-19. Methods for Meta-Analysis in Medical Research available in PDF, EPUB and Kindle. Major text including chapters on the following: defining outcome measures; assessing heterogeneity; using fixed effects methods and random effects models for combining study estimates; publication bias.

Cochrane Handbook for Systematic Reviews of Interventions

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Release : 2008-11-24
Genre : Medical
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Book Rating : 515/5 ( reviews)

Cochrane Handbook for Systematic Reviews of Interventions - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Cochrane Handbook for Systematic Reviews of Interventions write by Julian P. T. Higgins. This book was released on 2008-11-24. Cochrane Handbook for Systematic Reviews of Interventions available in PDF, EPUB and Kindle. 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-Analysis

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Release : 2020-10-27
Genre : Medical
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Book Rating : 328/5 ( reviews)

Meta-Analysis - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Meta-Analysis write by Shahjahan Khan. This book was released on 2020-10-27. Meta-Analysis available in PDF, EPUB and Kindle. 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.

Doing Meta-Analysis with R

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Release : 2021-09-15
Genre : Mathematics
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Book Rating : 636/5 ( reviews)

Doing Meta-Analysis with R - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Doing Meta-Analysis with R write by Mathias Harrer. This book was released on 2021-09-15. Doing Meta-Analysis with R available in PDF, EPUB and Kindle. 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