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UID:20250812T215832EDT-4767UFVBKj@132.216.98.100
DTSTAMP:20250813T015832Z
DESCRIPTION:The Stratified Micro-Randomized Trial Design: Sample Size Consi
 derations for Testing Nested Causal Effects of Time-Varying Treatment\n\nh
 ttp://wdempsey.github.io/Technological advancements in the field of mobile
  devices and wearable sensors have helped overcome obstacles in the delive
 ry of care\, making it possible to deliver behavioral treatments anytime a
 nd anywhere. Delivery of these treatments is increasingly triggered by det
 ections/predictions of vulnerability and receptivity\, which may have been
  impacted by prior treatments. Furthermore the treatments are often design
 ed to have an impact on users over a span of time during which subsequent 
 treatments may be provided. In this talk\, I will discuss the design of a 
 mobile health smoking cessation intervention study with the goal of assess
 ing whether reminders\, delivered at times of stress\, result in a reducti
 on/prevention of stress in the near-term\, and whether this effect changes
  with time in study. Multiple statistical challenges arose in this effort\
 , leading to the development of the “stratified micro-randomized trial'' d
 esign. In these designs\, each individual is randomized to treatment repea
 tedly at times determined by predictions of risk. These 'risk' times may b
 e impacted by prior treatment. I will describe the statistical challenges 
 and detail how they can be met.\n
DTSTART:20181112T193000Z
DTEND:20181112T203000Z
LOCATION:Room 25\, Purvis Hall\, CA\, QC\, Montreal\, H3A 1A2\, 1020 avenue
  des Pins Ouest
SUMMARY:Walter Dempsey\, Harvard University) - ( SPECIAL SEMINAR )
URL:/mathstat/channels/event/walter-dempsey-harvard-un
 iversity-special-seminar-291484
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