| Multiple imputation using chained equations: issues and guidance for practice IR White, P Royston, AM Wood Statistics in medicine 30 (4), 377-399, 2011 | 8952 | 2011 |
| Multiple imputation for missing data in epidemiological and clinical research: potential and pitfalls JAC Sterne, IR White, JB Carlin, M Spratt, P Royston, MG Kenward, ... Bmj 338, 2009 | 7220 | 2009 |
| Major lipids, apolipoproteins, and risk of vascular disease R Assessment Jama 302 (18), 1993-2000, 2009 | 3140 | 2009 |
| Plasma fibrinogen level and the risk of major cardiovascular diseases and nonvascular mortality: an individual participant meta-analysis FS Collaboration Jama 294 (14), 1799-1809, 2005 | 1702 | 2005 |
| 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 | 1556 | 2018 |
| Separate and combined associations of body-mass index and abdominal adiposity with cardiovascular disease: collaborative analysis of 58 prospective studies Emerging Risk Factors Collaboration The Lancet 377 (9771), 1085-1095, 2011 | 1418 | 2011 |
| Multiple imputation and its application JR Carpenter, JW Bartlett, TP Morris, AM Wood, M Quartagno, ... John Wiley & Sons, 2023 | 1248 | 2023 |
| 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 | 1239 | 2018 |
| Joint modelling of longitudinal measurements and event time data R Henderson, P Diggle, A Dobson Biostatistics 1 (4), 465-480, 2000 | 1219 | 2000 |
| World Health Organization cardiovascular disease risk charts: revised models to estimate risk in 21 global regions S Kaptoge, L Pennells, D De Bacquer, MT Cooney, M Kavousi, G Stevens, ... The Lancet global health 7 (10), e1332-e1345, 2019 | 933 | 2019 |
| Association of cardiometabolic multimorbidity with mortality E Di Angelantonio, S Kaptoge, D Wormser, P Willeit, AS Butterworth, ... Jama 314 (1), 52-60, 2015 | 920 | 2015 |
| Long-term interleukin-6 levels and subsequent risk of coronary heart disease: two new prospective studies and a systematic review J Danesh, S Kaptoge, AG Mann, N Sarwar, A Wood, SB Angleman, ... PLoS medicine 5 (4), e78, 2008 | 879 | 2008 |
| Triglyceride-mediated pathways and coronary disease: collaborative analysis of 101 studies Triglyceride Coronary Disease Genetics Consortium, ... The Lancet 375 (9726), 1634-1639, 2010 | 776 | 2010 |
| Genomic risk prediction of coronary artery disease in 480,000 adults: implications for primary prevention M Inouye, G Abraham, CP Nelson, AM Wood, MJ Sweeting, F Dudbridge, ... Journal of the American College of Cardiology 72 (16), 1883-1893, 2018 | 703 | 2018 |
| Are missing outcome data adequately handled? A review of published randomized controlled trials in major medical journals AM Wood, IR White, SG Thompson Clinical trials 1 (4), 368-376, 2004 | 695 | 2004 |
| Association of triglyceride-lowering LPL variants and LDL-C–lowering LDLR variants with risk of coronary heart disease BA Ference, JJP Kastelein, KK Ray, HN Ginsberg, MJ Chapman, ... Jama 321 (4), 364-373, 2019 | 638 | 2019 |
| How should variable selection be performed with multiply imputed data? AM Wood, IR White, P Royston Statistics in medicine 27 (17), 3227-3246, 2008 | 504 | 2008 |
| Chocolate consumption and cardiometabolic disorders: systematic review and meta-analysis A Buitrago-Lopez, J Sanderson, L Johnson, S Warnakula, A Wood, ... Bmj 343, d4488, 2011 | 373 | 2011 |
| Correcting for optimistic prediction in small data sets GCS Smith, SR Seaman, AM Wood, P Royston, IR White American journal of epidemiology 180 (3), 318-324, 2014 | 357 | 2014 |
| Imputation methods for missing outcome data in meta-analysis of clinical trials JPT Higgins, IR White, AM Wood Clinical trials 5 (3), 225-239, 2008 | 352 | 2008 |
Ian WhiteMRC Clinical Trials Unit at UCLVerified email at ucl.ac.uk
