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DESCRIPTION:Epidemiology\, Biostatistics and Occupational Health Seminar.\n
 \nTitle: Recent Experiences Conducting Trials using Bayesian Response Adap
 tive Randomization\n\nAbstract: Thomas Murray is an Assistant Professor an
 d Medtronic Faculty Fellow in the Division of Biostatistics at the Univers
 ity of Minnesota School of Public Health. His methodological research inte
 rests include decision-making in clinical trials with multiple outcomes\, 
 incorporating external data into clinical trial analyses and data monitori
 ng\, and adaptive design in general. His collaborative research has largel
 y been in cardiology\, oncology and behavioral science. During the past tw
 o years\, he has devoted much effort to help design and manage data coordi
 nation for clinical trials evaluating therapeutics for Covid-19. That\, an
 d raising two wonderful but exhausting young children with his spouse.\n\n
 \nI will discuss my experiences coordinating two recent clinical trials in
  out-of-hospital cardiac arrest that used Bayesian response adaptive rando
 mization designs\, and present some methodological innovations to improve 
 implementation and understand the potential benefit these designs offer. I
  will discuss the ACCESS trial (Clinicaltrials.gov ID: NCT03119571)\, whic
 h sought to compare the efficacy of two standards or care: direct admissio
 n to the cardiac catheter laboratory versus the ICU\; and the ARREST trial
  (NCT03880565)\, which sought to evaluate the efficacy of in-transit ECMO-
 facilitated resuscitation versus standard Advanced Cardiac Life Support (A
 CLS) resuscitation. My experiences with these trials motivated methodologi
 cal research into alternative prior choices and randomization techniques t
 hat improve type I error control and reduce the risk of enrolling a substa
 ntial proportion of participants to an inferior treatment arm. Building up
 on this research\, we proposed and investigated comparing a set of potenti
 al designs in terms of the expected number of failures among the cohort mo
 st acutely affected by the choice of design\; namely\, persons who would p
 articipate in the trial if it were open to enrollment at the time they bec
 ome eligible. I plan to discuss the details and take-aways from this line 
 of research.\n\nZoom - Please contact: admincoord.eboh [at] mcgill.ca\n\n 
 \n
DTSTART:20220216T203000Z
DTEND:20220216T213000Z
SUMMARY:Thomas Murray\, PhD (University of Minnesota)
URL:https://www.mcgill.ca/mathstat/channels/event/thomas-murray-phd-univers
 ity-minnesota-337584
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