Neil M Davies

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George Davey SmithUniversity of BristolAdresse e-mail validée de bristol.ac.uk
Richard MartinUniversity of BristolAdresse e-mail validée de bristol.ac.uk
Frank WindmeijerUniversity of OxfordAdresse e-mail validée de stats.ox.ac.uk
Gibran HemaniUniversity of BristolAdresse e-mail validée de bristol.ac.uk
Amy TaylorUniversity of BristolAdresse e-mail validée de bristol.ac.uk
Laura HoweProfessor of Epidemiology and Medical Statistics, University of BristolAdresse e-mail validée de bristol.ac.uk
Kate TillingProfessor of Medical Statistics, Bristol UniversityAdresse e-mail validée de bristol.ac.uk
Dipender GillImperial College LondonAdresse e-mail validée de imperial.ac.uk
Venexia WalkerUniversity of Bristol, University of PennsylvaniaAdresse e-mail validée de bristol.ac.uk
Michael V Holmes23andMeAdresse e-mail validée de 23andme.com
Tim MorrisUCL, Centre for Longitudinal StudiesAdresse e-mail validée de ucl.ac.uk
Stephen BurgessUniversity of Cambridge, MRC Biostatistics UnitAdresse e-mail validée de medschl.cam.ac.uk
Nicholas John TimpsonUniversity of BristolAdresse e-mail validée de bristol.ac.uk
Dr Kyla ThomasAssociate Professor in Public Health Medicine, University of BristolAdresse e-mail validée de bristol.ac.uk
Rebecca RichmondUniversity of BristolAdresse e-mail validée de bristol.ac.uk
Alice CarterNovo NordiskAdresse e-mail validée de novonordisk.com
Yoav Ben-ShlomoUniversity of BristolAdresse e-mail validée de bristol.ac.uk
Sean HarrisonUniversity of BristolAdresse e-mail validée de bristol.ac.uk
Louise Amanda Claire MillardUniversity of BristolAdresse e-mail validée de bristol.ac.uk
David GunnellProfessor of Epidemiology, University of BristolAdresse e-mail validée de bristol.ac.uk

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Neil M Davies

University College London, Division of Psychiatry, Department of Statistical Science

Adresse e-mail validée de ucl.ac.uk - Page d'accueil

Epidemiology Pharmacoepidemiology Economics and Econometrics Causal Inference Genetic


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians NM Davies, MV Holmes, GD Smith bmj 362, 2018	1783	2018
Bias due to participant overlap in two‐sample Mendelian randomization S Burgess, NM Davies, SG Thompson Genetic epidemiology 40 (7), 597-608, 2016	892	2016
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	788	2019
Collider bias undermines our understanding of COVID-19 disease risk and severity GJ Griffith, TT Morris, MJ Tudball, A Herbert, G Mancano, L Pike, ... Nature communications 11 (1), 5749, 2020	691	2020
Strengthening the reporting of observational studies in epidemiology using Mendelian randomization: the STROBE-MR statement VW Skrivankova, RC Richmond, BAR Woolf, J Yarmolinsky, NM Davies, ... Jama 326 (16), 1614-1621, 2021	553	2021
Two-sample Mendelian randomization: avoiding the downsides of a powerful, widely applicable but potentially fallible technique FP Hartwig, NM Davies, G Hemani, G Davey Smith International journal of epidemiology 45 (6), 1717-1726, 2016	440	2016
Do teachers matter? Measuring the variation in teacher effectiveness in England H Slater, NM Davies, S Burgess Oxford Bulletin of Economics and Statistics 74 (5), 629-645, 2012	318*	2012
Strengthening the reporting of observational studies in epidemiology using mendelian randomisation (STROBE-MR): explanation and elaboration VW Skrivankova, RC Richmond, BAR Woolf, NM Davies, SA Swanson, ... bmj 375, 2021	306	2021
Apparent latent structure within the UK Biobank sample has implications for epidemiological analysis S Haworth, R Mitchell, L Corbin, KH Wade, T Dudding, A Budu-Aggrey, ... Nature communications 10 (1), 333, 2019	287*	2019
Avoiding dynastic, assortative mating, and population stratification biases in Mendelian randomization through within-family analyses B Brumpton, E Sanderson, K Heilbron, FP Hartwig, S Harrison, GÅ Vie, ... Nature communications 11 (1), 3519, 2020	259*	2020
Associations of anti-hypertensive treatments with Alzheimer's disease, vascular dementia, and other dementias NM Davies, PG Kehoe, Y Ben-Shlomo, RM Martin Journal of Alzheimer's Disease 26 (4), 699-708, 2011	252	2011
Education and myopia: assessing the direction of causality by mendelian randomisation E Mountjoy, NM Davies, D Plotnikov, GD Smith, S Rodriguez, CE Williams, ... bmj 361, 2018	248	2018
The causal effects of education on health outcomes in the UK Biobank NM Davies, M Dickson, G Davey Smith, GJ Van Den Berg, F Windmeijer Nature human behaviour 2 (2), 117-125, 2018	239	2018
Mendelian randomisation for mediation analysis: current methods and challenges for implementation AR Carter, E Sanderson, G Hammerton, RC Richmond, G Davey Smith, ... European journal of epidemiology 36 (5), 465-478, 2021	220	2021
Outcome trends and safety measures after 30 years of laparoscopic cholecystectomy: a systematic review and pooled data analysis PH Pucher, LM Brunt, N Davies, A Linsk, A Munshi, HA Rodriguez, ... Surgical endoscopy 32, 2175-2183, 2018	199	2018
Within-sibship genome-wide association analyses decrease bias in estimates of direct genetic effects LJ Howe, MG Nivard, TT Morris, AF Hansen, H Rasheed, Y Cho, ... Nature genetics 54 (5), 581-592, 2022	189*	2022
Exploring the association of genetic factors with participation in the Avon Longitudinal Study of Parents and Children AE Taylor, HJ Jones, H Sallis, J Euesden, E Stergiakouli, NM Davies, ... International journal of epidemiology 47 (4), 1207-1216, 2018	189	2018
Understanding the consequences of education inequality on cardiovascular disease: mendelian randomisation study AR Carter, D Gill, NM Davies, AE Taylor, T Tillmann, J Vaucher, ... bmj 365, 2019	184	2019
Software Application Profile: PHESANT: a tool for performing automated phenome scans in UK Biobank LAC Millard, NM Davies, TR Gaunt, G Davey Smith, K Tilling International journal of epidemiology 47 (1), 29-35, 2018	172	2018
Instrumental variable analysis with a nonlinear exposure–outcome relationship S Burgess, NM Davies, SG Thompson, EPIC-InterAct Consortium Epidemiology 25 (6), 877-885, 2014	172	2014

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