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DTSTART:20241103T020000
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DESCRIPTION:Policy evaluation is a challenging causal inference problem\, 
 with study design (whether randomized\, quasi-experimental\, or observati
 onal) playing a key role. For complex interventions and outcomes\, popula
 r design and analysis methods face statistical challenges and limitations
  when only observed data are used. Because of this\, public health modeli
 ng has an important part to play in policy analysis\, although one that h
 as been at times underappreciated in the rush to use the latest statistic
 al or data science methods. In this seminar\, Lee Kennedy-Shaffer discuss
 es some of the limitations of popular quasi-experimental methods and what
  public health modeling can teach us about those limitations and how to o
 vercome them. Specific examples include the retrospective analysis of non
 -pharmaceutical interventions during the COVID pandemic and of restrictiv
 e firearm policies. Kennedy-Shaffer is an Assistant Professor (Educator-S
 cholar Track) in the Department of Biostatistics at the Yale School of Pu
 blic Health and a member of the Institute for Foundations of Data Science
 . He previously was an Assistant Professor of Mathematics and Statistics 
 at Vassar College and completed his PhD in biostatistics at the Harvard T
  .H. Chan School of Public Health. His research interests include quasi-e
 xperimental methods for policy evaluation\, the population health impact 
 of infectious disease interventions\, baseball statistics\, and the histo
 ry and teaching of statistics. PUBH 580 01 (Fall 2025) Seminar in Public 
 Health Modeling YSPH values inclusion and access for all participants. If
  you have questions about accessibility or would like an accommodation\, 
 please contact lourdes.haynes@yale.edu.\n\nSpeaker:\nLee Kennedy-Shaffer\
 n\nAdmission:\nFree\n\nFood:\nLunch: for those enrolled in course\n\nDeta
 ils URL:\nhttps://medicine.yale.edu/event/the-value-of-public-health-mode
 ling-a-statisticians-perspective/\n
DTEND;TZID=America/New_York:20250915T131500
DTSTAMP:20260404T064022Z
DTSTART;TZID=America/New_York:20250915T120000
GEO:41.302961;-72.931638
LOCATION:106A\, 47 College Street\, New Haven\, CT\, United States
SEQUENCE:0
STATUS:Confirmed
SUMMARY:The Value of Public Health Modeling:  a Statistician's Perspective
UID:e6d5cdb5-5bda-4eae-b14b-04ed84d5363a
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