Undertake research in cutting edge statistical methods and learn how these can be used in a wide variety of health-related applications. Projects range from state-of-the-art algorithm development through to applying statistical methods in ground-breaking biomedical research.IntroductionThe Department of Health Data Science undertakes high-impact research in statistical genetics, pharmacogenetics, joint modelling of longitudinal and time-to-event data, multivariate data analysis, stereology, multi-source evidence synthesis and clinical trials. We have a sustained track record of research funded by the MRC, Wellcome Trust, Horizon 2020 and NIHR, and are committed to excellence in methodological and applied research.This provides an ideal environment for our postgraduate researchers to develop new methodological skills and applications to important health challenges in stratified medicine, infections, regenerative medicine and public health.Our strong links with civic health collaborators through our Civic Health Innovation Labs (CHIL) provide excellent access to policy makers. This gives our postgraduate researchers a dynamic experience of using statistical methods to inform policy decisions.Research topicsWe welcome proposals from potential students with their own topic ideas. We have expertise in supervising projects across a range of statistical topics including:Clinical trialsSurvival data analysisMultivariate and multilevel data analysisBayesian ModellingMethods for evaluating biomarkersStatistical pharmacogeneticsJoint modelling of longitudinal and time-to-event dataPharmacokineticsPharmacodynamics personalised dosing algorithmsPrediction ModellingCausal InferenceQuality of life data analysis.