Reading Mendelian randomisation studies: a guide, glossary, and checklist for clinicians NM Davies, MV Holmes, GD Smith bmj 362, 2018 | 2517 | 2018 |
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 | 1210 | 2021 |
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 | 1196 | 2019 |
Bias due to participant overlap in two‐sample Mendelian randomization S Burgess, NM Davies, SG Thompson Genetic epidemiology 40 (7), 597-608, 2016 | 1120 | 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 | 780 | 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 | 609 | 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 | 547 | 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 | 395 | 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 | 336 | 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 | 332 | 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 | 307* | 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 | 292 | 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 | 282* | 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 | 265 | 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 | 262 | 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 | 229 | 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 | 220 | 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 | 199 | 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 | 192 | 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 | 189 | 2014 |