{"product_id":"mendelian-randomization-methods-for-causal-inference-using-genetic-variants-paperback","title":"Mendelian Randomization: Methods for Causal Inference Using Genetic Variants - Paperback","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\u003eStephen Burgess\u003c\/b\u003e (Author), \u003cb\u003eSimon G. Thompson\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cem\u003e\u003cstrong\u003eMendelian Randomization: Methods For Causal Inference Using Genetic Variants\u003c\/strong\u003e\u003c\/em\u003e provides thorough coverage of the methods and practical elements of Mendelian randomization analysis. It brings together diverse aspects of Mendelian randomization from the fields of epidemiology, statistics, genetics, and bioinformatics.\u003c\/p\u003e\u003cp\u003eThrough multiple examples, the first part of the book introduces the reader to the concept of Mendelian randomization, showing how to perform simple Mendelian randomization investigations and interpret the results. The second part of the book addresses specific methodological issues relevant to the practice of Mendelian randomization, including robust methods, weak instruments, multivariable methods, and power calculations. The authors present the theoretical aspects of these issues in an easy-to-understand way by using non-technical language. The last part of the book examines the potential for Mendelian randomization in the future, exploring both methodological and applied developments.\u003c\/p\u003e\u003cp\u003eFeatures\u003c\/p\u003e\u003cul\u003e \u003cli\u003eOffers first-hand, in-depth guidance on Mendelian randomization from leaders in the field\u003c\/li\u003e \u003cli\u003eMakes the diverse aspects of Mendelian randomization understandable to newcomers\u003c\/li\u003e \u003cli\u003eIllustrates technical details using data from applied analyses\u003c\/li\u003e \u003cli\u003eDiscusses possible future directions for research involving Mendelian randomization\u003c\/li\u003e \u003cli\u003eSoftware code is provided in the relevant chapters and is also available at the supplementary website\u003c\/li\u003e \u003c\/ul\u003e\u003cp\u003eThis book gives epidemiologists, statisticians, geneticists, and bioinformaticians the foundation to understand how to use genetic variants as instrumental variables in observational data.\u003c\/p\u003e\u003cp\u003eNew in Second Edition: The second edition of the book has been substantially re-written to reduce the amount of technical content, and emphasize practical consequences of theoretical issues. Extensive material on the use of two-sample Mendelian randomization and publicly-available summarized data has been added. The book now includes several real-world examples that show how Mendelian randomization can be used to address questions of disease aetiology, target validation, and drug development\u003c\/p\u003e\u003ch3\u003eAuthor Biography\u003c\/h3\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eDr Stephen Burgess\u003c\/strong\u003e is an MRC Investigator at the MRC Biostatistics Unit in Cambridge, an internationally acclaimed research institute in medical statistics. He holds a Wellcome Trust Sir Henry Dale Fellowship, and leads a research group which aims to develop statistical methods that use genetic variation to answer clinically relevant questions about disease aetiology and prevention. He was previously located at the Cardiovascular Epidemiology Unit in the University of Cambridge, where he held a Sir Henry Wellcome Postdoctoral Fellowship. His main research interests are in causal inference and evidence synthesis.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eProfessor Simon Thompson\u003c\/strong\u003e was Director of Research in Biostatistics at the Cardiovascular Epidemiology Unit in the University of Cambridge until his retirement in 2018. He is a Fellow of the Academy of Medical Sciences. From 2000-2011, he was Director of the MRC Biostatistics Unit in Cambridge. He held previous academic appointments at the London School of Hygiene and Tropical Medicine, and as the first Professor of Medical Statistics and Epidemiology at Imperial College London. In retirement, he has cut down his research activities substantially, and is not getting involved in new research projects.\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 226\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.51 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 June 23, 2021\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47738146423043,"sku":"9781032019512","price":291874.0,"currency_code":"KRW","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0588\/9310\/7359\/files\/ejRLQXIxWHZxNTdqbDRtSG1zVFBWUT09.webp?v=1771005166","url":"https:\/\/annizon.com\/en-kr\/products\/mendelian-randomization-methods-for-causal-inference-using-genetic-variants-paperback","provider":"annizon.com","version":"1.0","type":"link"}