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 KarAssociate Professor, 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
James YarmolinskyImperial College LondonDirección de correo verificada de imperial.ac.uk
Angela WoodUniversity of CambridgeDirección de correo verificada de medschl.cam.ac.uk
Christopher N FoleyUniversity of CambridgeDirección de correo verificada de mrc-bsu.cam.ac.uk
Claudia LangenbergBerlin Institute of Health at Charité, Germany & MRC Epidemiology Unit, University of Cambridge, UKDirección de correo verificada de charite.de
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
Nicholas WarehamDirector, MRC Epidemiology Unit, University of CambridgeDirección de correo verificada de mrc-epid.cam.ac.uk
Frank DudbridgeUniversity of LeicesterDirección de correo verificada de leicester.ac.uk
Michael V Holmes23andMeDirección de correo verificada de 23andme.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	7695	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	7006	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	6137	2018
Mendelian randomization analysis with multiple genetic variants using summarized data S Burgess, A Butterworth, SG Thompson Genetic epidemiology 37 (7), 658-665, 2013	4726	2013
Interpreting findings from Mendelian randomization using the MR-Egger method S Burgess, SG Thompson European journal of epidemiology 32, 377-389, 2017	3524	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	2807	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	1804	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	1787	2019
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, 186, 2023	1786	2023
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	1711	2017
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	1559	2017
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	1445	2015
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	1432	2017
Bias due to participant overlap in two‐sample Mendelian randomization S Burgess, NM Davies, SG Thompson Genetic epidemiology 40 (7), 597-608, 2016	1407	2016
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	1377	2016
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	1373	2018
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	1354	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	1227	2013
Association of cardiometabolic multimorbidity with mortality E Di Angelantonio, S Kaptoge, D Wormser, P Willeit, AS Butterworth, ... Jama 314 (1), 52-60, 2015	996	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	947	2016

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