Stephen Burgess

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Dipender GillImperial College LondonZweryfikowany adres z imperial.ac.uk
Susanna C. LarssonUppsala UniversityZweryfikowany adres z uu.se
Amy MasonBritish Heart Foundation Cardiovascular Epidemiology Unit, Department of Public Health and PrimaryZweryfikowany adres z medschl.cam.ac.uk
George Davey SmithUniversity of BristolZweryfikowany adres z bristol.ac.uk
Adam ButterworthProfessor of Molecular EpidemiologyZweryfikowany adres z medschl.cam.ac.uk
Jack BowdenProfessor of Biomedical Data Science, University of Exeter and Senior Director, Novo Nordisk OxfordZweryfikowany adres z exeter.ac.uk
Shuai YuanPerelman School of Medicine at the University of PennsylvaniaZweryfikowany adres z pennmedicine.upenn.edu
John DaneshUniversity of CambridgeZweryfikowany adres z medschl.cam.ac.uk
Siddhartha KarAssociate Professor, University of CambridgeZweryfikowany adres z cam.ac.uk
Neil M DaviesUniversity College London, Division of Psychiatry, Department of Statistical ScienceZweryfikowany adres z ucl.ac.uk
Caroline ReltonProfessor, University of BristolZweryfikowany adres z bristol.ac.uk
Angela WoodUniversity of CambridgeZweryfikowany adres z medschl.cam.ac.uk
James YarmolinskyImperial College LondonZweryfikowany adres z imperial.ac.uk
Christopher N FoleyUniversity of CambridgeZweryfikowany adres z mrc-bsu.cam.ac.uk
Claudia LangenbergBerlin Institute of Health at Charité, Germany & MRC Epidemiology Unit, University of Cambridge, UKZweryfikowany adres z charite.de
Michaelsson, KarlProfessor of Medical Epidemiology, Uppsala UniversityZweryfikowany adres z surgsci.uu.se
Emanuele Di AngelantonioUniversity of Cambridge / Human TechnopoleZweryfikowany adres z medschl.cam.ac.uk
Nicholas WarehamDirector, MRC Epidemiology Unit, University of CambridgeZweryfikowany adres z mrc-epid.cam.ac.uk
Frank DudbridgeUniversity of LeicesterZweryfikowany adres z leicester.ac.uk
James R StaleyComputational Genetics Lead, UCBZweryfikowany adres z ucb.com

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Stephen Burgess

University of Cambridge, MRC Biostatistics Unit

Zweryfikowany adres z medschl.cam.ac.uk - Strona główna

Mendelian randomization instrumental variables causal inference


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	7543	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	6856	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	6013	2018
Mendelian randomization analysis with multiple genetic variants using summarized data S Burgess, A Butterworth, SG Thompson Genetic epidemiology 37 (7), 658-665, 2013	4619	2013
Interpreting findings from Mendelian randomization using the MR-Egger method S Burgess, SG Thompson European journal of epidemiology 32, 377-389, 2017	3417	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	2727	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	1779	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	1755	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	1733	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	1696	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	1526	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	1414	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	1408	2017
Bias due to participant overlap in two‐sample Mendelian randomization S Burgess, NM Davies, SG Thompson Genetic epidemiology 40 (7), 597-608, 2016	1392	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	1365	2018
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	1361	2016
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	1329	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	1209	2013
Association of cardiometabolic multimorbidity with mortality E Di Angelantonio, S Kaptoge, D Wormser, P Willeit, AS Butterworth, ... Jama 314 (1), 52-60, 2015	982	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	930	2016

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