Angela Wood
Angela Wood
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Cited by
Cited by
Multiple imputation using chained equations: issues and guidance for practice
IR White, P Royston, AM Wood
Statistics in medicine 30 (4), 377-399, 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
Major lipids, apolipoproteins, and risk of vascular disease
R Assessment
Jama 302 (18), 1993-2000, 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
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
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
Multiple imputation and its application
JR Carpenter, JW Bartlett, TP Morris, AM Wood, M Quartagno, ...
John Wiley & Sons, 2023
Joint modelling of longitudinal measurements and event time data
R Henderson, P Diggle, A Dobson
Biostatistics 1 (4), 465-480, 2000
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
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
Association of cardiometabolic multimorbidity with mortality
E Di Angelantonio, S Kaptoge, D Wormser, P Willeit, AS Butterworth, ...
Jama 314 (1), 52-60, 2015
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
Triglyceride-mediated pathways and coronary disease: collaborative analysis of 101 studies
Triglyceride Coronary Disease Genetics Consortium, ...
The Lancet 375 (9726), 1634-1639, 2010
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
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
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
How should variable selection be performed with multiply imputed data?
AM Wood, IR White, P Royston
Statistics in medicine 27 (17), 3227-3246, 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
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
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
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