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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.
- Lawton, M, Tilling, K, Robertson, NP, Tremlett, H, Zhu, F, Harding, KE, Oger, J & Ben-Shlomo, Y 2015, A longitudinal model for disease progression was developed and applied to multiple sclerosis. Journal of Clinical Epidemiology.
- Voort, AMMSd, Howe, LD, Granell, R, Duijts, L, Sterne, JAC, Tilling, K & Henderson, AJ 2015, Influence of childhood growth on asthma and lung function in adolescence. Journal of Allergy and Clinical Immunology.
- 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. Journal of Adolescent Health, vol 56., pp. 181-187
- Millard, LAC, Davies, NM, Timpson, N, Tilling, K, Flach, PA & Smith, GD 2015, MR-PheWAS: Hypothesis prioritization among potential causal effects of body mass index on many outcomes, using Mendelian randomization. Scientific Reports, vol 5.
- Vocht, Fd, Simpkin, AJ, Richmond, RC, Relton, C & Tilling, K 2015, Assessment of Offspring DNA Methylation across the Lifecourse Associated with Prenatal Maternal Smoking Using Bayesian Mixture Modelling. International Journal of Environmental Research and Public Health, vol 12., pp. 14461-76
- Simpkin, AJ, Hemani, G, Suderman, M, Gaunt, TR, Lyttleton, O, McArdle, WL, Ring, SM, Sharp, GC, Tilling, K, Horvath, S, Kunze, S, Peters, A, Waldenberger, M, Ward-Caviness, C, Nohr, EA, Sørensen, TIA, Relton, CL & Smith, GD 2015, Prenatal and early life influences on epigenetic age in children: A study of mother-offspring pairs from two cohort studies. Human Molecular Genetics.
- Heron, J, Croudace, TJ, Barker, ED & Tilling, K 2015, A comparison of approaches for assessing covariate effects in latent class analysis. Longitudinal and Life Course Studies, vol 6., pp. 420-434
- Cornish, R, Tilling, K, Boyd, A, Macleod, J & Van Staa, T 2015, Using linkage to electronic primary care records to evaluate recruitment and nonresponse bias in the avon longitudinal study of parents and children. Epidemiology, vol 26., pp. e41-2
- Cornish, RP, Tilling, K, Boyd, A, Davies, A & Macleod, J 2015, Using linked educational attainment data to reduce bias due to missing outcome data in estimates of the association between the duration of breastfeeding and IQ at 15 years. International Journal of Epidemiology.
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