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TZID:America/New_York
X-LIC-LOCATION:America/New_York
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DTSTART:20241103T020000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:EST
TZOFFSETFROM:-0400
TZOFFSETTO:-0500
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BEGIN:DAYLIGHT
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 D
 r. Rebecca A. Hubbard Title: “The Brave New World of Real-World Data” Abs
 tract Real-world data (RWD) are ubiquitous\, creating exciting opportunit
 ies to advance science and society through data-driven decision-making. H
 owever\, data quality and availability vary across populations and settin
 gs\, creating significant risks of bias. In this talk\, I will highlight 
 examples where evidence from clinical trials and epidemiological cohorts 
 can be augmented with RWD to enhance both the timeliness and generalizabi
 lity of findings\, and I will describe statistical and design-based strat
 egies to harness the potential of RWD while safeguarding reliability. I w
 ill discuss approaches for extending evidence from randomized trials to t
 rial-ineligible populations\, hybrid controlled trial designs that integr
 ate RCT and RWD components\, and methods that combine RWD with deeply cha
 racterized epidemiological cohorts to address data quality limitations. I
 llustrations from cancer and aging research will highlight the opportunit
 ies and pitfalls of this evolving evidence ecosystem and emphasize that t
 he contribution of RWD to evidence-based decision making rests on the rig
 or of the methods with which they are analyzed.\n\nAdmission:\nFree\n\nDe
 tails URL:\nhttps://medicine.yale.edu/event/ysph-biostatistics-seminar-2/
 \n
DTEND;TZID=America/New_York:20260120T130000
DTSTAMP:20261018T123750Z
DTSTART;TZID=America/New_York:20260120T120000
GEO:41.302961;-72.931638
LOCATION:106 A&B\, 47 College Street\, New Haven\, CT\, United States
SEQUENCE:0
STATUS:Confirmed
SUMMARY:YSPH Biostatistics Seminar- “The Brave New World of Real-World Dat
 a”
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