Biostatistics, Evidence Synthesis, Test Evaluation and prediction Models (BESTEAM) The Biostatistics, Evidence Synthesis, Test Evaluation and prediction Models (BESTEAM) research team is a multidisciplinary group within the Institute of Applied Health Research 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 Leads Professor Jon Deeks Professor of Biostatistics Institute of Applied Health Research View profile Professor Richard Riley Professor of Biostatistics Institute of Applied Health Research View profile Professor Yemisi Takwoingi Professor of Test Evaluation and Evidence Synthesis Institute of Applied Health Research View profile 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, focusing on both the development of methodology to enable robust evaluation of tests and delivering primary research to assess medical tests and biomarkers Research groups Biostatistics Evidence synthesis Test evaluation Meet the team Staff in BESTEAM Active projects Birmingham Lung Improvement Studies (BLISS) - NIHR programme grant for applied health research Refining Ovarian Cancer Test Accuracy SCores (ROCkeTS) - NIHR Characterising Atrial Fibrillation by Translating Its Causes into Health Modifiers in the Elderly (CATCH ME) Guidance for the Regulation, Evaluation, Marketing and Monitoring of DTCTs (GUIDE-DTCTs) Key publications Ferrante di Ruffano, L, et al. (2012) "Assessing the value of diagnosis tests: a framework for designing and evaluating trials" BMJ 344 Teaching Public Health MPH - Epidemiology, Statistics and Research Methods (ESRM), Practical Epidemiology and Statistics (PEaS) and Advanced Statistical Methods Medicine and Surgery (MBChB) Graduate Entry Course (GEC) and Medicine and Surgery (MBChB) - Medical Statistics module Undergraduate Mathematics - Medical Statistics Short courses Statistical methods for risk prediction and prognostic models - Short Course - Medical and Dental Sciences - University of Birmingham Statistical Methods for Meta-Analysis of Individual Participant Data (SMIPD) - Short Course - Medical and Dental Sciences - University of Birmingham Foundations in Cluster Randomised Trials Contact Please call + 44 (0) 121 414 8712 for any enquiries.