Stephen Burgess (MRC Biostatistics Unit, Cambridge, UK), Simon G. Thompson (Department of Public Health and Un Primary Care

Broschiertes Buch

Mendelian Randomization

Methods for Causal Inference Using Genetic Variants

Beschreibung

Mendelian randomization (MR) uses genetic instrumental variables to make inferences about causal effects based on observational data. It, therefore, can be a reliable way of assessing the causal nature of risk factors, such as biomarkers, for a wide range of disease outcomes.

Autor

Dr Stephen Burgess 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. Professor Simon Thompson 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.

Produktdetails

• Chapman & Hall/CRC Interdisciplinary Statistics
• Verlag: Taylor & Francis Ltd
• 2 ed
• Seitenzahl: 240
• Erscheinungstermin: 23. Juni 2021
• Englisch
• Abmessung: 234mm x 156mm x 13mm
• Gewicht: 368g
• ISBN-13: 9781032019512
• ISBN-10: 1032019514
• Artikelnr.: 61288631