Stephen Burgess

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Dipender GillImperial College LondonDirección de correo verificada de imperial.ac.uk
Susanna C. LarssonUppsala UniversityDirección de correo verificada de uu.se
Amy MasonBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and PrimaryDirección de correo verificada de medschl.cam.ac.uk
George Davey SmithUniversity of BristolDirección de correo verificada de bristol.ac.uk
Adam ButterworthProfessor of Molecular EpidemiologyDirección de correo verificada de medschl.cam.ac.uk
Jack BowdenProfessor of Biomedical Data Science, University of Exeter and Senior Director, Novo Nordisk OxfordDirección de correo verificada de exeter.ac.uk
Shuai YuanPerelman School of Medicine at the University of PennsylvaniaDirección de correo verificada de pennmedicine.upenn.edu
John DaneshUniversity of CambridgeDirección de correo verificada de medschl.cam.ac.uk
Siddhartha KarGroup leader, University of CambridgeDirección de correo verificada de cam.ac.uk
Neil M DaviesUniversity College London, Division of Psychiatry, Department of Statistical ScienceDirección de correo verificada de ucl.ac.uk
Caroline ReltonProfessor, University of BristolDirección de correo verificada de bristol.ac.uk
Angela WoodUniversity of CambridgeDirección de correo verificada de medschl.cam.ac.uk
Claudia LangenbergBerlin Institute of Health at Charité, Germany & MRC Epidemiology Unit, University of Cambridge, UKDirección de correo verificada de charite.de
James YarmolinskyImperial College LondonDirección de correo verificada de imperial.ac.uk
Christopher N FoleyUniversity of CambridgeDirección de correo verificada de mrc-bsu.cam.ac.uk
Nicholas WarehamDirector, MRC Epidemiology Unit, University of CambridgeDirección de correo verificada de mrc-epid.cam.ac.uk
Michaelsson, KarlProfessor of Medical Epidemiology, Uppsala UniversityDirección de correo verificada de surgsci.uu.se
Emanuele Di AngelantonioUniversity of Cambridge / Human TechnopoleDirección de correo verificada de medschl.cam.ac.uk
Frank DudbridgeUniversity of LeicesterDirección de correo verificada de leicester.ac.uk
James R StaleyComputational Genetics Lead, UCBDirección de correo verificada de ucb.com

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Stephen Burgess

University of Cambridge, MRC Biostatistics Unit

Dirección de correo verificada de medschl.cam.ac.uk - Página principal

Mendelian randomization instrumental variables causal inference


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Mendelian randomization with invalid instruments: effect estimation and bias detection through Egger regression J Bowden, G Davey Smith, S Burgess International journal of epidemiology 44 (2), 512-525, 2015	7012	2015
Consistent estimation in Mendelian randomization with some invalid instruments using a weighted median estimator J Bowden, G Davey Smith, PC Haycock, S Burgess Genetic epidemiology 40 (4), 304-314, 2016	6318	2016
The MR-Base platform supports systematic causal inference across the human phenome G Hemani, J Zheng, B Elsworth, KH Wade, V Haberland, D Baird, ... elife 7, e34408, 2018	5535	2018
Mendelian randomization analysis with multiple genetic variants using summarized data S Burgess, A Butterworth, SG Thompson Genetic epidemiology 37 (7), 658-665, 2013	4247	2013
Interpreting findings from Mendelian randomization using the MR-Egger method S Burgess, SG Thompson European journal of epidemiology 32, 377-389, 2017	3093	2017
Avoiding bias from weak instruments in Mendelian randomization studies S Burgess, SG Thompson, Crp Chd Genetics Collaboration International journal of epidemiology 40 (3), 755-764, 2011	2439	2011
Genomic atlas of the human plasma proteome BB Sun, JC Maranville, JE Peters, D Stacey, JR Staley, J Blackshaw, ... Nature 558 (7708), 73-79, 2018	1656	2018
PhenoScanner V2: an expanded tool for searching human genotype–phenotype associations MA Kamat, JA Blackshaw, R Young, P Surendran, S Burgess, J Danesh, ... Bioinformatics 35 (22), 4851-4853, 2019	1630	2019
MendelianRandomization: an R package for performing Mendelian randomization analyses using summarized data OO Yavorska, S Burgess International journal of epidemiology 46 (6), 1734-1739, 2017	1582	2017
Guidelines for performing Mendelian randomization investigations: update for summer 2023 S Burgess, GD Smith, NM Davies, F Dudbridge, D Gill, MM Glymour, ... Wellcome open research 4, 2019	1554	2019
Sensitivity analyses for robust causal inference from Mendelian randomization analyses with multiple genetic variants S Burgess, J Bowden, T Fall, E Ingelsson, SG Thompson Epidemiology 28 (1), 30-42, 2017	1399	2017
PhenoScanner: a database of human genotype–phenotype associations JR Staley, J Blackshaw, MA Kamat, S Ellis, P Surendran, BB Sun, ... Bioinformatics 32 (20), 3207-3209, 2016	1315	2016
Bias due to participant overlap in two‐sample Mendelian randomization S Burgess, NM Davies, SG Thompson Genetic epidemiology 40 (7), 597-608, 2016	1304	2016
A review of instrumental variable estimators for Mendelian randomization S Burgess, DS Small, SG Thompson Statistical methods in medical research 26 (5), 2333-2355, 2017	1298	2017
Risk thresholds for alcohol consumption: combined analysis of individual-participant data for 599 912 current drinkers in 83 prospective studies AM Wood, S Kaptoge, AS Butterworth, P Willeit, S Warnakula, T Bolton, ... The Lancet 391 (10129), 1513-1523, 2018	1276	2018
Using published data in Mendelian randomization: a blueprint for efficient identification of causal risk factors S Burgess, RA Scott, NJ Timpson, G Davey Smith, SG Thompson, ... European journal of epidemiology 30, 543-552, 2015	1275	2015
Multivariable Mendelian randomization: the use of pleiotropic genetic variants to estimate causal effects S Burgess, SG Thompson American journal of epidemiology 181 (4), 251-260, 2015	1253	2015
Efficient design for Mendelian randomization studies: subsample and 2-sample instrumental variable estimators BL Pierce, S Burgess American journal of epidemiology 178 (7), 1177-1184, 2013	1141	2013
Association of cardiometabolic multimorbidity with mortality E Di Angelantonio, S Kaptoge, D Wormser, P Willeit, AS Butterworth, ... Jama 314 (1), 52-60, 2015	949	2015
Combining information on multiple instrumental variables in Mendelian randomization: comparison of allele score and summarized data methods S Burgess, F Dudbridge, SG Thompson Statistics in medicine 35 (11), 1880-1906, 2016	862	2016

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