Biostatistics

  • //applyindex.com/wp-content/uploads/2023/11/United-Kingdome.png UK
  • University/Institute Name University of Liverpool
  • Attendance Type On Campus (Full Time)
  • Position Duration3 years
  • Unspecified Expired

Position Details (Master's)

The Biostatistics program from University of Liverpool is one of the largest in the UK, undertaking 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. 

The Biostatistics program from University of Liverpool provides an ideal environment for esteemed students to develop new methodological skills and applications to important health challenges in stratified medicine, infections, regenerative medicine and public health.

Key Features

  • Staff and students are undertaking research involving groundbreaking basic science and life-changing therapies.
  • The program has expertise in methodological research and a track record of national and international collaboration in high quality research across a broad range of applied health research interests:
  • Evidence synthesis
  • Development of core outcome sets
  • Recruitment and retention of participants
  • Meta-analysis
  • Health informatics
  • Applied health research.
  • The Biostatistics program from University of Liverpool provides an umbrella for cross-disciplinary units and initiatives, including the Clinical Trials Research Centre and the Medical Research Council North West Hub for Trials Methodology Research.
  • Theresearch interests include:
  • Clinical trials
  • Survival data analysis
  • Multivariate and multilevel data analysis
  • Methods for evaluating biomarkers
  • Statistical pharmacogenetic
  • Joint modelling of longitudinal and time-to-event data
  • Pharmacokinetics
  • Pharmacodynamics personalised dosing algorithms
  • Statistical performance monitoring
  • Quality of life data analysis.

Research themes include:

  • Systematic reviews and meta-analysis
  • Analysis of laboratory-based data
  • Statistical shape and image analysis
  • Stereological methods

Research Areas & Fields of Study involved in the position

Position Start Date