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TZID:America/Chicago
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DTSTART:20250309T030000
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DTSTART:20251102T010000
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BEGIN:VEVENT
DTSTAMP;TZID=America/Chicago:20260408T091248
UID:213155@calendar.wisc.edu
DTSTART;TZID=America/Chicago:20250919T120000
DTEND;TZID=America/Chicago:20250919T130000
DESCRIPTION:Personalizing Digital Health with Reinforcement Learning: Infer
 ence in Adaptive Experiments.. Digital health interventions offer the oppo
 rtunity to deliver personalized support at scale\, but designing and evalu
 ating such interventions raises new statistical and methodological challen
 ges. Dr. Guo will describe her work on MiWaves\, a mobile health study aim
 ed at reducing cannabis use among emerging adults\, where intervention mes
 sages were delivered via a just-in-time adaptive intervention (JITAI)\, us
 ing a reinforcement learning (RL) framework.\n\nCONTACT: junjie.hu@wisc.ed
 u\n\nURL: https://biostat.wisc.edu/seminars\n\nONLINE: https://uwmadison.z
 oom.us/j/99879638765?pwd=wbtqxoucEFIlPVCVc9SFbvKB1Av7Xk.1
LOCATION:7560 Morgridge Hall  (Also offered online)
SUMMARY:Biostatistics and Medical Informatics Department Seminar with Yongy
 i Guo (University of Wisconsin-Madison
URL;VALUE=URI:https://biostat.wisc.edu/seminars
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