Appropriate analysis of trial data is vital, but often far from straightforward. It must respect the chosen design, provide a meaningful and unbiased summary of the treatment effect, whilst having sufficient robustness to unforeseen issues. As a practical CTU we are able to maximize the impact of our work by developing, testing and applying our proposed solutions within our own trials.
Missing outcome data
There is a rising awareness of the need to take account of missing outcome data in trials, but the range and novelty of methods is a barrier to many trialists. We focus on practical, accessible methods for exploring the assumptions underlying missing-data methodology, and on frameworks for analysis and reporting.
Treatment switching (which does not reflect routine clinical practice) complicates the interpretation of a trial. For example, control arm patients may receive an unlicensed and/or unfunded experimental treatment on disease progression. Again, our focus is on developing practical methods and frameworks for analysis and interpretation of trials in the presence of treatment changes.