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Professor Kate Tilling
Professor Kate Tilling
Professor of Medical Statistics
BSc(Warw), MSc(Oxon), PhD(Lond)
My main research interests are in the development and application of statistical methods to problems in epidemiology/health services research. Two particular areas are methods for analysis of longitudinal data, and methods for minimising bias due to mising data.
I teach 1st and 4th year medical students, and also contribute to the Short Course Programme.
My main areas of expertise are in methods for analysing exposures and outcomes across the life course, and in methods for dealing with missing data.
I have a mathematical background, an MSc in Applied Statistics and a PhD in epidemiology, together with more than 15 years experience working in academic public health and epidemiology.
I enjoy interpreting and explaining results from more complex statistical methods to other researchers and members of the public and using all forms of the media to effectively promote public health messages.
statistical methodslifecourse methodsmissing dataepidemiology
- Palace, J, Duddy, M, Bregenzer, T, Lawton, M, Zhu, F, Boggild, M, Piske, B, Robertson, NP, Oger, J, Tremlett, H, Tilling, K, Ben-Shlomo, Y & Dobson, C 2015, Effectiveness and cost-effectiveness of interferon beta and glatiramer acetate in the UK Multiple Sclerosis Risk Sharing Scheme at 6 years: a clinical cohort study with natural history comparator. The Lancet. Neurology.
- Howe, LD, Tilling, K & Lawlor, DA 2015, Studying the Life Course Health Consequences of Childhood Adversity: Challenges and Opportunities. Circulation.
- Anderson, EL, Howe, LD, Fraser, A, Macdonald-Wallis, C, Callaway, MP, Sattar, N, Day, C, Tilling, K & Lawlor, DA 2015, Childhood Energy Intake, Not Macronutrient Intake, Is Associated with Nonalcoholic Fatty Liver Disease in Adolescents. The Journal of Nutrition.
- Collin, SM, Tilling, K, Joinson, C, Rimes, KA, Pearson, RM, Hughes, RA, Sterne, JAC & Crawley, E 2015, Maternal and childhood psychological factors predict chronic disabling fatigue at age 13 years. The Journal of adolescent health : official publication of the Society for Adolescent Medicine, vol 56., pp. 181-7
- Kidger, J, Heron, J, Leon, DA, Tilling, K, Lewis, G & Gunnell, D 2015, Self-reported school experience as a predictor of self-harm during adolescence: a prospective cohort study in the South West of England (ALSPAC). Journal of Affective Disorders, vol 173., pp. 163-9
- Hughes, RA, White, IR, Seaman, SR, Carpenter, JR, Tilling, K & Sterne, JAC 2014, Joint modelling rationale for chained equations. BMC Medical Research Methodology, vol 14.
- Easter, A, Howe, LD, Tilling, K, Schmidt, U, Treasure, J & Micali, N 2014, Growth trajectories in the children of mothers with eating disorders: a longitudinal study. BMJ Open, vol 4., pp. e004453
- Munafò, M, Noble, S, Browne, WJ, Brunner, D, Button, K, Ferreira, J, Holmans, P, Langbehn, D, Lewis, G, Lindquist, M, Tilling, K, Wagenmakers, E-J & Blumenstein, R 2014, Scientific rigor and the art of motorcycle maintenance. Nature Biotechnology, vol 32., pp. 871-3
- Richmond, RC, Simpkin, AJ, Woodward, G, Gaunt, TR, Lyttleton, O, McArdle, WL, Ring, SM, Smith, ADAC, Timpson, NJ, Tilling, K, Smith, GD & Relton, CL 2014, Prenatal exposure to maternal smoking and offspring DNA methylation across the lifecourse: findings from the Avon Longitudinal Study of Parents and Children (ALSPAC). Human Molecular Genetics.
- Birnie, K, Verheyden, VJE, Pagano, D, Bhabra, M, Tilling, KM, Sterne, JAC & Murphy, GJ 2014, Predictive models for kidney disease: improving global outcomes (KDIGO) defined acute kidney injury in UK cardiac surgery. Critical Care, vol 18.
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