University Lecturer in Biostatistics
Email:Â amw79@medschl.cam.ac.uk
Tel: +44 (0) 1223 748652
Background
Angela received her BSc (Hons) in Mathematics and Statistics in 1998 and subsequently completed her doctorate on the subject of joint modeling longitudinal and time-to-event data with Profs Peter Diggle and Robin Henderson from the University of Lancaster in 2001. She carried out post-doctoral research with Dr Ian White at the MRC Biostatistics Unit, Cambridge and was appointed in 2006 to University Lecturer in Biostatistics in the Department of Public Health and Primary Care, Cambridge.
Research Interests
Angela’s research interests are centered on the development and application of statistical methods for advancing epidemiological research. She has focused on developing statistical methodology for   handling measurement error, using repeated measures of risk factors, missing data problems, multiple imputation, risk prediction and meta-analysis. Her applied research has focused on cardiovascular research with colleagues in the CEU and birth outcomes in collaboration with Professor Gordon Smith, Department of Obstetrics and Gynecology, University of Cambridge.
Teaching
Angela is the academic director of the MPhil in Epidemiology, University of Cambridge. She presents lectures on introductory statistics, descriptive statistics, strategies for analysis, analysis of clustered data and repeated measures, missing data, demographic methods and risk prediction. She has supervised a number of MPhil and PhD students.
Selected Publications
Wormser D, White IR, Thompson SG and Wood A M. Within-person variability in calculated risk factors: Comparing the aetiological association of adiposity ratios with risk of coronary heart disease. IJE 2013; 42:849-59 [Pubmed ID: 23918853]
Burgess S, White IR, Resche-Rigon W, Wood AM. Combining multiple imputation and meta-analysis with individual participant data. Statistics in Medicine 2013; 32:4499-4514. [Pubmed ID:23703895]
White IR, Royston P, Wood AM. Multiple imputation using chained equations: Issues and guidance for practice. Stat Med 2011;30:377-399 [Pubmed ID: 21225900]
Smith GC, Wood AM, White IR, Pell JP, Hattie J. Birth weight and the risk of cardiovascular disease in the maternal grandparents. Am J Epidemiol 2010;171:736-744 [Pubmed ID: 20133517]
Wood AM, Greenland P. Evaluating the prognostic value of new cardiovascular biomarkers. Dis Markers 2009;26:199-207. [Pubmed ID:19773609]
Wood AM, White IR, Royston P. How should variable selection be performed with multiply imputed data? Stat Med 2008;27:3227-3246. [Pubmed ID:18203127]
Wood, A. M., White, I., Thompson, S. G., Lewington, S., & Danesh, J. Fibrinogen Studies Collaboration.). Regression dilution methods for meta-analysis: assessing long-term variability in plasma fibrinogen among 27,247 adults in 15 prospective studies. Int J Epidemiol, 2006:35: 1570-1578 [Pubmed ID:17148467]
Smith, G. C., Wood, A. M., Pell, J. P., & Dobbie, R.). Sudden infant death syndrome and complications in other pregnancies. Â The Lancet, 2005: 366: 2107-2111 [Pubmed ID:16360787]
Wood, A. M., White, I. R., & Thompson, S. G. Are missing outcome data adequately handled? A review of published randomized controlled trials in major medical journals.. Clin Trials 2004 1:368-376. [Pubmed ID:16279275]
R Henderson, P Diggle, and A Dobson. Joint modelling of measurements and event time data. Biostatistics 2000; 1: 465-480. [Pubmed ID:12933568]