Professor Alice Sitch
Professor of Biostatistics
Staff profile for Alice Sitch, Associate Professor of Biostatistics, School of Health Sciences, University of Birmingham.
BESTEAM
Biostatistics, Evidence Synthesis, Test Evaluation and prediction Models.
The BESTEAM research team is a multidisciplinary group within the Department of Applied Health Sciences at the University of Birmingham. The team consists of medical statisticians, systematic reviews and information specialists who work in various fields of medical research.
Theme Lead
Aims of the research
Aims of the research
The research of the team covers:
- Biostatistics research, including both application and development of methodology with cluster trials and stepped-wedge studies being a key area
- Synthesis of evidence, including systematic reviews and meta-analyses
- Test evaluation and prediction models, focusing on both the development of methodology to enable robust evaluation of tests and models and delivering primary research to assess medical tests and biomarkers
Research groups
Research groups
- Biostatistics
- Evidence synthesis
- Test evaluation
Meet the team
Meet the team
Teaching
Teaching
The team deliver teaching across a range of programmes across the College of Medicine and Health and beyond. We lead modules on the Masters in Public Health, Masters in Health Research Methods, Medicine and Surgery, and Mathematics.
Short courses
Short courses
The research of the Biostatistics, Evidence Synthesis, Test Evaluation and prediction Models (BESTEAM) team covers: the broad field of biostatistics, including both development of methodology and application in primary research. The team have expertise in cluster trials and stepped-wedge studies; the synthesis of evidence, including systematic reviews and meta-analyses; and test evaluation and prediction models.
The BESTEAM team offer the following exciting online CPD courses:
- Statistical Methods for Risk Prediction and Prognostic Models (3 days)
- Statistical Methods for Meta-Analysis of Individual Participant Data (3 days)
- An Introduction to IPD Meta-Analysis Projects (2 days)
- Evaluating Medical Tests (EMT): How to assess whether a biomarker or diagnostic test is fit for purpose? (3 days)
- Systematic Reviews and Meta-Analyses of Diagnostic Test Accuracy (2 days) - More information available in 2026
- Foundations in Cluster Randomised Trials (3 days or 5 days)
For further information, please contact Hayley Walton (h.l.walton@bham.ac.uk) or search for other CPD courses.
Contact
Contact
Please call + 44 (0) 121 414 8712 for any enquiries.