(Ottawa Hospital Research Institute and University of Ottawa Faculty of Medecine)
The Justification of Statistical Decisions in Clinical Trials
Friday, November 28th, 2014
In recent years, there has
been a growing concern about the proper conduct and monitoring of clinical
trials. High on the agenda of clinical researchers is the inadequate reporting
of randomized controlled trials (RCTs), including trials that are stopped early
due to benefit, harm or futility. Despite efforts from regulatory agencies
(e.g., Health Canada) issuing recommendations and guidance for both the conduct
and reporting of RCTs, recent systematic reviews of RCTs show that top medical
journals continue to publish trials without requiring authors to report sufficient
details for readers to evaluate statistical decisions carefully.
In my talk, I present a
systematic way of modeling and simulating interim decisions of RCTs. By taking an
approach that is both general and rigorous, my proposal models and evaluates
early stopping decisions of RCTs based on a clear and consistent set of
criteria. The framework permits decision analysts to generate and answer
'what-if' questions by simulating alternate trial scenarios. I illustrate the
framework with a case study of an RCT that was stopped early due to futility.
This was a trial evaluating an intervention to prevent a brain-infection in
HIV+ symptomatic individuals.
Friday, November 28th, 2014
3:00pm
University of Ottawa
Desmarais Hall (55, Laurier East)
Room 8161
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