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TZID:America/New_York
X-LIC-LOCATION:America/New_York
BEGIN:STANDARD
DTSTART:20241103T020000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
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DTSTART:20250309T020000
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DESCRIPTION:In this talk\, Dr. Zhou will introduce some new mathematical a
 nd statistical methods for causal statistical inference in complex scenar
 ios. Specifically\, he will first discuss the causal learning methods for
  recommendation systems\, then discuss the methods for making causal lear
 ning when the outcome has a network structure. Next\, he will discuss the
  methods for dealing with interference in causal learning\, as well as ho
 w to make causal inference with intercurrent events. Finally\, he will in
 troduce some causal inference methods in large language models (LLM).\n\n
 Speaker:\nXiaohua (Andrew) Zhou\, PhD\n\nAdmission:\nFree\n\nDetails URL:
 \nhttps://medicine.yale.edu/event/casual-inference-in-complex-medical-and
 -public-health-scenarios/\n
DTEND;TZID=America/New_York:20260213T120000
DTSTAMP:20260515T174409Z
DTSTART;TZID=America/New_York:20260213T110000
GEO:41.303666;-72.932218
LOCATION:Yale School of Public Health (LEPH)\, 115\, 60 College Street\, N
 ew Haven\, CT\, United States
SEQUENCE:0
STATUS:Confirmed
SUMMARY:Casual Inference in Complex Medical and Public Health Scenarios wi
 th Xiaohua (Andrew) Zhou\, PhD
UID:c67972ed-b9aa-419e-97a3-8b81491234f7
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