Our methodology research aims to provide methodologically innovative and practically relevant solutions to the challenges faced in current clinical research.
These challenges include:
Below is a summary of highlights achieved by our four programmes: Design, Conduct, Analysis and Meta-analysis.
We created and pioneered the multi-arm multi-stage (MAMS) design. We are experts in setting up, running, analysing and communicating MAMS/platform trials. We also created and pioneered the MAMS-ROCI design for optimising a quantitative aspect of treatment (such as its duration), and the PRACTical design for ranking a set of treatments.
We generate evidence to determine the best ways to deliver clinical trials, amassing and sharing our knowledge on trial monitoring, running platform trials and how clinical trial data can be re-used in further research. We have highlighted the need to assess integrity and provenance of healthcare systems datasets and evaluate their utility for use in clinical trials. We have also developed guidance around communicating results to trial participants.
We developed definitions of estimands for clinical trial designs and are working on how to estimate estimands that lack established methods of analysis. We introduced a new framework for planning and reporting simulation studies in statistical research and have made contributions to the handling of missing data.
We have developed and are applying a prospective and collaborative framework (FAME) to ensure faster, more reliable meta-analyses of emerging trial results. We are combining current best-practice analytical approaches to the analysis of individual participant data, with the development of novel methods to address specific issues. This ensures we obtain both reliable and nuanced answers to important clinical questions.
Design
We specialise in the development of improved designs for clinical trials and related study types, to enable rapid, efficient and better evaluation of therapies.
Conduct
We aim to provide an evidence base for trial conduct best practice by developing and evaluating methods to ensure that trials are run effectively and efficiently.
Analysis
We develop and evaluate methods for the statistical analysis of clinical trials, such that results are robust and make best use of the available data.
Meta-analysis
We develop the methodology underpinning systematic reviews and meta-analyses and apply it in high-quality reviews relevant to our trials.
Software