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SUMMARY:BSU Seminar: &quot\;Information theory in dose-finding trials&quot
 \; - Prof. Thomas Jaki\, Lancaster University
DTSTART:20190408T140000Z
DTEND:20190408T150000Z
UID:TALK120970@talks.cam.ac.uk
CONTACT:Alison Quenault
DESCRIPTION:In this talk we consider novel developments in information the
 ory and their application to dose-finding. Focus will be given on a novel 
 criterion for the allocation of patients in Phase I dose-escalation clinic
 al trials aiming to find the maximum tolerated dose (MTD).\n\nConventional
 ly\, using a model-based approach the next patient is allocated to the dos
 e with the toxicity estimate closest (in terms of the absolute or squared 
 distance) to the maximum acceptable toxicity. This approach\, however\, ig
 nores the uncertainty in point estimates and ethical concerns of assigning
  a lot of patients to overly toxic doses. On the basis of information theo
 ry\, we propose a criterion which accounts for both of these issues. The c
 riterion requires a specification of one additional parameter only which h
 as a simple and intuitive interpretation. We incorporate the proposed crit
 erion into the one-parameter Bayesian continual reassessment method (CRM) 
 and show\, using simulations\, that it results in the same proportion of c
 orrect selections on average as the original design\, but in fewer mean nu
 mber of toxic responses. We then extend the ideas to utilize similar conce
 pt for other complex phase I settings such as dose-schedule trials.\n
LOCATION:Small Seminar Room\, 1st Floor\, Institute of Public Health\, Uni
 versity Forvie Site\, Robinson Way\, Cambridge
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