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UID:20250715T120002EDT-0866v3C8Et@132.216.98.100
DTSTAMP:20250715T160002Z
DESCRIPTION:Title: Propensity Score Matching with Time-varying Covariates f
 or Observational Survival Data: An application to 17-Alpha Hydroxyprogeste
 rone Caproate Treatment in Patients with Recurrent Preterm Birth.\n\nAbstr
 act:Dr. Erinn Hade is a Research Assistant Professor in the Departments of
  Biomedical Informatics and Obstetrics & Gynecology\, The Ohio State Unive
 rsity College of Medicine. She co-leads the OSU Maternal and Child Health 
 research group with Dr. Courtney Lynch where they focus careful design\, i
 nference and method development to improve the health of women and childre
 n. She holds a MS in Biostatistics from the University of Washington and P
 hD from The Ohio State University. http://u.osu.edu/hade.2/ \; https://u.o
 su.edu/osumch/In observational studies where a survival outcome is of inte
 rest\, treatment initiation may be time-dependent\, which is likely to be 
 affected by both time-invariant and time-varying covariates. In certain si
 tuations\, all subjects may be exposed to the treatment sooner or later. I
 n this scenario\, the causal effect of interest is the delay in treatment.
  We propose a propensity score matching strategy to estimate the treatment
  delay effect. The goal is to balance the covariate distribution between o
 n-time treatment and delayed treatment groups at each time point under ris
 k set matching. We apply this method to study the delayed treatment effect
  of 17 alpha-hydroxyprogesterone caproate (17P) for patients with recurren
 t preterm birth.\n
DTSTART:20190226T203000Z
DTEND:20190226T213000Z
LOCATION:Room 24\, Purvis Hall\, CA\, QC\, Montreal\, H3A 1A2\, 1020 avenue
  des Pins Ouest
SUMMARY:Erinn Hade\, PhD\, The Ohio State University College of Medicine
URL:/mathstat/channels/event/erinn-hade-phd-ohio-state
 -university-college-medicine-294931
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