MPhil / PhD / MD生物统计学

生物统计学系是英国最大的生物统计学系之一，致力于统计遗传学，药物遗传学，纵向和事件发生时间数据的联合建模，多元数据分析，立体学，多源证据综合等方面的高影响力研究和临床试验。我们拥有由MRC，Wellcome Trust，Horizo​​n 2020和NIHR资助的持续研究记录，并致力于在方法论和应用研究方面取得卓越成就。这为受尊敬的学生提供了一个理想的环境，使他们能够开发新的方法论技能并将其应用于分层医学，感染，再生医学和公共卫生领域中的重要健康挑战。生物统计学系在方法学研究方面拥有专业知识，并且在广泛的
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.