BEGIN:VCALENDAR
PRODID:-//github.com/ical-org/ical.net//NONSGML ical.net 4.0//EN
VERSION:2.0
BEGIN:VTIMEZONE
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
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20250309T020000
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:EDT
TZOFFSETFROM:-0500
TZOFFSETTO:-0400
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
DESCRIPTION:Talk title : Making “All of Us ” More Like All of Us: RAILS We
 ights and Beyond Abstract : National biobanks are transforming medical re
 search\, but because participants volunteer\, the enrolled cohort may not
  reflect the broader population\, potentially biasing estimates of diseas
 e burden and risk. We present a survey-informed weighting approach (RAILS
 ) that rebalances volunteer-based biobank data to better represent the ta
 rget U.S. population. Applied to the All of Us Research Program using nat
 ional survey benchmarks\, the method improves agreement with population p
 revalence estimates and supports more reliable phenome-wide profiling and
  cardiovascular risk assessment. This work offers a practical tool for re
 ducing selection bias and strengthening the population relevance of bioba
 nk-based findings. Qingxia ‘Cindy’ Chen\, PhD \, is a Professor of Biosta
 tistics\, Biomedical Informatics\, and Ophthalmology & Visual Sciences at
  Vanderbilt University Medical Center. She also serves as the Vice Chair 
 of Education at the Department of Biostatistics. Her research spans both 
 novel statistical and impactful biomedical research\, with a focus on mis
 sing data\, survival analysis\, Bayesian analysis\, and the use of electr
 onic health records and multimodal data resources for precision medicine.
  Additionally\, she co-led statistical efforts for the All of Us Research
  Program at the Data and Research Center and has contributed to initiativ
 es focused on enhancing data quality and developing educational resources
 .\n\nSpeaker:\nQingxia "Cindy" Chen\, PhD\n\nAdmission:\nFree\n\nFood:\nL
 unch\n\nDetails URL:\nhttps://medicine.yale.edu/event/bids-special-semina
 r-4-22-2026/\n
DTEND;TZID=America/New_York:20260422T130000
DTSTAMP:20260514T200723Z
DTSTART;TZID=America/New_York:20260422T120000
LOCATION:Zoom \, URL: https://yale.zoom.us/j/98745124517
SEQUENCE:0
STATUS:Confirmed
SUMMARY:BIDS Special Seminar
UID:16c01b9b-9ffd-401c-bf9d-eebff43c377a
END:VEVENT
END:VCALENDAR