
Professor Jon Deeks
Professor of Biostatistics
Staff Profile for Jon Deeks, Professor of Biostatistics, Associate Director of the Birmingham Clinical Trials Unit.


Effective healthcare depends on using tests that do more good than harm. The Test and Prediction Group (TAP) is an internationally recognised group producing and evaluating evidence on the performance of medical tests, as well as for innovation in test evaluation methods.

Professor of Biostatistics
Staff Profile for Jon Deeks, Professor of Biostatistics, Associate Director of the Birmingham Clinical Trials Unit.

Head of the Department of Applied Health Sciences
Staff profile for Dr Yemisi Takwoingi, Head of the Department of Applied Health Sciences and Professor of Test Evaluation and Evidence Synthesis at the University of Birmingham, UK.

Professor of Biostatistics
Staff profile for Richard Riley, Professor of Biostatistics, Department of Applied Health Sciences, University of Birmingham
TAP undertakes both methods and applied health research. We are involved in many international collaborations and lead several collaborations working to set standards for design, delivery and analysis of studies of diagnostic tests. Our main areas of research include:
TAP have a broad portfolio of expertise in planning, delivery and analysis of primary studies designed to assess the use of tests in healthcare.
Our group is also recognised for its work in the field of systematic reviews and meta-analysis of diagnostic test evaluation. We work closely with the Cochrane Screening and Diagnostic Tests Methods Group providing the editorial base for systematic reviews of diagnostic test accuracy in the Cochrane Library.
TAP has expertise in design and analysis of biological variability and interobserver variability studies. We are developing methodological guidance in this area through our work with the NIHR Birmingham Biomedical Research Centre.
Other areas of methodological innovation include developing theory and practical applications for assessing how tests impact on decision-making and patient health.
We have experience in designing and evaluating studies of screening tests and tools. We have strong links with the Warwick Screening Group, and have collaborated on many projects.
Our group has expertise in studies using tests for the purpose of monitoring. We have investigated methodological issues for both the design and analysis of these studies.
As well as diagnostic test evaluation, TAP works on projects developing and validating models and prediction rules. We are close collaborators with the Centre for Prognosis Research at Keele University.
The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus and resulting COVID-19 pandemic present important diagnostic evaluation challenges. As part of a multi–institute international collaboration, we are undertaking a series of Cochrane ‘living reviews’ of Diagnostic Test Accuracy to cover the roles of tests and characteristics in the diagnosis of COVID-19.
Published reviews include signs and symptoms (e.g. fever or cough, oxygen saturation or lung auscultation findings), routine laboratory markers and thoracic imaging, as well reviews of SARS-CoV-2 specific biomarkers such as antibody tests and point-of-care rapid antigen or molecular tests. Three more reviews are ongoing, covering the effect of sampling methods on accuracy, laboratory-based tests that could be alternatives to RT-PCR, and ‘eNoses’.
In addition to our suite of reviews we have offered expert opinion and analysis on planned test use, the information provided and communication of results for new tests, and the appropriate design of studies for newly developed tests. Our publications are listed below:
The Test and Prediction Group are part of BESTEAM.
We organise and are affiliated with a number of research evens which promote the understanding and knowledge of test evaluation and medical statistics.
Statistical methods for risk prediction and prognostic models - Short Course - Medicine and Health - University of Birmingham - This online course provides a thorough foundation of statistical methods for developing and validating risk prediction and prognostic models in healthcare research.
Statistical Methods for Meta-Analysis of Individual Participant Data (SMIPD) - Short Course - Medicine and Health - University of Birmingham - This three-day online statistical course provides a detailed foundation of the methods and principles for meta-analysis when IPD (Individual Participant Data) are available from multiple related studies.
If you wish to express interest in attending one of our courses in the future or have any queries about the courses, please email tap@contacts.bham.ac.uk
Every month, we hold a team meeting which services a dual purpose of providing methodological support to teams evaluating medical tests. Teams can reserve a one-hour slot to present their project and queries and provide round-table discussions on methodological solutions.
In 2008, we launched the world’s first symposium focussed on methods for evaluating medical tests called `The Methods for Evaluating Medical prediction Models, Tests and Biomarkers’ (MEMTAB).
Free materials for conducting reviews and meta–analyses of diagnostic test accuracy are available through Cochrane’s Screening and Diagnostic Test Methods group as training materials and the DTA handbook.
In association with the NIHR Birmingham Biomedical Research Centre, we launched a Biomarker Club for University of Birmingham researchers who are actively involved in developing and/or evaluating diagnostic tests. These meetings, held on the second Thursday of the month, aim to provide the opportunity to learn about test evaluation methods, share research challenges and network.
For further information about the TAP sessions or Biomarker Club, please contact tap@contacts.bham.ac.uk.
If you have any queries regarding the TAP research project, please contact us by e-mail.