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The Medical Statistics Group, at the Peninsula Medical School, offer a Statistical Consultancy Service providing statistical clinics for both staff and students. The Consultancy Service can also offer support and collaboration with funding applications.
Our team has a broad range of expertise including, but not limited to:
  • Trial methodology
  • Sample size calculations
  • Hypothesis testing
  • Regression analysis
  • Meta-analysis
  • Compositional data analysis
  • Survival analysis
  • Multi-level modelling
  • Longitudinal data analysis
  • Exploratory factor analysis
  • Structural equation modelling
  • Bayesian inference and model fitting in BUGS, Stan, JAGS, WINBUGS, OpenBUGS
  • Approaches to deal with missing data
  • Statistical packages SPSS, R, STATA, SQL, Git

Supporting clinical trials or other research studies

From design and analysis to interpretation and reporting of all types of study
We have extensive experience in providing statistical support to clinical trials including feasibility (for example, the EMaPP feasibility trial and ) and pilot trials, randomised controlled trials including CTIMPs (for example ), adaptive designs, cluster trials (for example, ), stepped-wedge trials, early phase trials (for example, ), trials of complex interventions, and other well designed research studies including observational longitudinal studies such as SWIMS and the EarlyBird study. We work across the whole life cycle of trials and can offer support and advice in the following areas:
  • study design – including sample size and power calculations
  • grant and protocol writing – advice on the data that you plan to collect and how these data will result in meaningful conclusions
  • advice on writing Statistical Analysis Plans (SAPs)
  • data management – eCRF