{"product_id":"doing-meta-analysis-with-r-a-hands-on-guide-hardcover","title":"Doing Meta-Analysis with R: A Hands-On Guide - Hardcover","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eMathias Harrer\u003c\/b\u003e (Author), \u003cb\u003ePim Cuijpers\u003c\/b\u003e (Author), \u003cb\u003eToshi Furukawa\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDoing Meta-Analysis with R: A Hands-On Guide\u003c\/strong\u003e 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, \u003ci\u003edmetar\u003c\/i\u003e, is introduced at the beginning of the guide. It contains data sets and several helper functions for the \u003ci\u003emeta\u003c\/i\u003e and \u003ci\u003emetafor\u003c\/i\u003e package used in the guide. \u003c\/p\u003e \u003cp\u003eThe programming and statistical background covered in the book are kept at a non-expert level, making the book widely accessible. \u003c\/p\u003e\u003cb\u003e \u003c\/b\u003e\u003cp\u003e\u003cb\u003eFeatures\u003c\/b\u003e\u003cbr\u003e- Contains two introductory chapters on how to set up an R environment and do basic imports\/manipulations of meta-analysis data, including exercises\u003cbr\u003e- Describes statistical concepts clearly and concisely before applying them in R\u003cbr\u003e- Includes step-by-step guidance through the coding required to perform meta-analyses, and a companion R package for the book \u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cb\u003eMathias Harrer \u003c\/b\u003eis a research associate at the Friedrich-Alexander-University Erlangen-Nuremberg. Mathias' research focuses on biostatistical and technological approaches in psychotherapy research, methods for clinical research synthesis, and on the development of statistical software.\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePim Cuijpers \u003c\/b\u003eis professor of Clinical Psychology at the VU University Amsterdam. He is specialized in conducting randomized controlled trials and meta-analyses, with a focus on the prevention and treatment of common mental disorders. Pim has published more than 800 articles in international peer-reviewed scientific journals; many of which are meta-analyses of clinical trials.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eToshi A. Furukawa \u003c\/b\u003eis professor of Health Promotion and Human Behavior at the Kyoto University School of Public Health. His seminal research focuses both on theoretical aspects of research synthesis and meta-analysis, as well as their application in evidence-based medicine.\u003c\/p\u003e\u003cp\u003e\u003cb\u003eDavid D. Ebert \u003c\/b\u003eis professor of Psychology and Behavioral Health Technology at the Technical University of Munich. David's research focuses internet-based intervention, clinical epidemiology, as well as applied research synthesis in this field.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 474\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 1.06 x 9.21 x 6.14 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eIllustrated:\u003c\/strong\u003e Yes\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e September 13, 2021\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47739599913219,"sku":"9780367610074","price":19225.49,"currency_code":"INR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0588\/9310\/7359\/files\/UUZlTVlXbG40end0SVMrTVg4eHByUT09.webp?v=1771077153","url":"https:\/\/annizon.com\/en-in\/products\/doing-meta-analysis-with-r-a-hands-on-guide-hardcover","provider":"annizon.com","version":"1.0","type":"link"}