
Professor Alice Sitch
Professor of Biostatistics
Staff profile for Alice Sitch, Professor of Biostatistics, School of Health Sciences, University of Birmingham.


The BESTEAM research team is a multidisciplinary group within the Department of Applied Health Sciences at University of Birmingham. The team consists of medical statisticians, methodologists, clinical epidemiologists, systematic reviews and information specialists who work in various fields of medical research.

Researchers at University of Birmingham develop statistical methodology and collaborate on applied research to improve the design, analysis and reporting of cluster and stepped-wedge trials.

We specialise in developing and applying robust methodology for prognosis research and prediction models in healthcare.

We develop and apply novel geostatistical methods to address global public health challenges, focusing on neglected tropical diseasesand other conditions affecting low- and middle-income countries.

The Diagnostic Test Evaluation Group is internationally recognised, producing and evaluating evidence on the performance of medical tests, as well as for innovation in test evaluation methods.

The EQUATOR Network is an international initiative uniting researchers, editors, reviewers, guideline developers, funders and partners to improve the quality and transparency of health research.

Meet our academic experts in BESTEAM.
The research of the team covers the application, development and evaluation of methodology in the following areas:
The team delivers teaching in biostatistics, evidence synthesis and evidence-based medicine across a range of programmes in the College of Medicine and Health and beyond. We lead modules on the Masters in Public Health, Masters in Health Research Methods, Masters in Global Health, Medicine and Surgery, and Mathematics.
The BESTEAM team offer the following exciting online CPD courses:
For further information, please contact Hayley Walton (h.l.walton@bham.ac.uk) or search for other CPD courses.

The POMS team explores medical statistics across both methodological and applied research.