Neil M Davies
Neil M Davies
University College London, Division of Psychiatry, Department of Statistical Science
Verified email at - Homepage
Cited by
Cited by
Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians
NM Davies, MV Holmes, GD Smith
bmj 362, 2018
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
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
Bias due to participant overlap in two‐sample Mendelian randomization
S Burgess, NM Davies, SG Thompson
Genetic epidemiology 40 (7), 597-608, 2016
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
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
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
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
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
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
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), 1-13, 2020
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
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
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
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
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
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
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
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
Instrumental variable analysis with a nonlinear exposure–outcome relationship
S Burgess, NM Davies, SG Thompson, EPIC-InterAct Consortium
Epidemiology 25 (6), 877-885, 2014
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