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DTSTART:20241103T020000
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TZNAME:EST
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DTSTART:20250309T020000
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DESCRIPTION:NOTE: BIS 526 students are required to attend in person. Other
 s are invited to attend in person\, but may also attend via Zoom. Speaker
 - Ivana Malenica Title- Personalized Decision-Making for Infectious Disea
 se Control: Causal Inference and Complex Dependence Abstract Effective ma
 nagement of emerging and existing epidemics requires strategic decisions 
 on where\, when\, and to whom interventions should be applied. However\, 
 personalized decision-making in infectious disease applications introduce
 s new and unique statistical challenges. For instance\, the individuals a
 t risk of infection are unknown\, the true outcome of interest (positive 
 infection status) is often a latent variable\, and the presence of comple
 x dependence reduces data to a single observation. In this work\, we inve
 stigate an adaptive sequential design under latent outcome structures and
  unspecified dependence through space and time. The statistical problem i
 s addressed within a nonparametric model that respects the unknown depend
 ence structure. I will begin by formalizing a treatment allocation strate
 gy that utilizes up-to-date data to inform who is at risk of infection in
  real-time. The optimal allocation strategy\, or optimal policy\, maximiz
 es the mean latent outcome under a resource constraint. The proposed esti
 mator learns the optimal policy over time and exploits the double-robust 
 structure of the efficient influence function of the target parameters of
  interest. In the second part of the talk\, I will present the study of d
 ata-adaptive inference on the mean under the optimal policy\, where the t
 arget parameter adapts over time in response to the observed data (state 
 of the epidemic). The superior performance of the proposed framework is d
 emonstrated through an agent-based simulation of a residential university
  environment during the COVID-19 pandemic.\n\nSpeaker:\nIvana Malenica\n\
 nAdmission:\nFree\n\nDetails URL:\nhttps://medicine.yale.edu/event/ysph-b
 iostatistics-seminar-tba1-30/\n
DTEND;TZID=America/New_York:20240130T130000
DTSTAMP:20261020T212903Z
DTSTART;TZID=America/New_York:20240130T120000
GEO:41.302961;-72.931638
LOCATION:Rm. 106 A&B\, 47 College Street\, New Haven\, CT\, United States
SEQUENCE:0
STATUS:Confirmed
SUMMARY:YSPH Biostatistics Seminar: "Personalized Decision-Making for Infe
 ctious Disease Control: Causal Inference and Complex Dependence"
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