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TZID:America/New_York
X-LIC-LOCATION:America/New_York
BEGIN:STANDARD
DTSTART:20241103T020000
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
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BEGIN:DAYLIGHT
DTSTART:20250309T020000
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DESCRIPTION:Introduction to MarketScan and Data Access at Yale This sessio
 n will introduce MarketScan \, a large-scale healthcare claims database a
 vailable to Yale researchers\, and explore how it can be used to support 
 health and clinical research. Participants will learn about the populatio
 ns and data available in MarketScan\, see examples of research applicatio
 ns\, and gain a practical understanding of how to request and access the 
 data at Yale. Topics will include: Overview of MarketScan and its applica
 tions in healthcare research Available populations\, data types\, and key
  variables Examples of research questions and studies using claims data H
 ow to request MarketScan access through YBIC DataMed Accessing and naviga
 ting Yale’s secure data environment Available resources and research supp
 ort About the Speaker Yujia Zhou is a Data Analyst at Yale University sup
 porting biomedical and clinical research using electronic health records\
 , healthcare claims\, and other large-scale research databases. She holds
  an M.S. in Biomedical Informatics and an MBBS\, bringing together clinic
 al training and expertise in data science. Her work includes cohort devel
 opment\, data harmonization\, cloud computing\, and research support thro
 ugh DataMed. She has experience working with MarketScan\, Epic\, OMOP\, a
 nd other real-world healthcare data sources.\n\nSpeaker:\nPolly Painter\n
 \nAdmission:\nFree\n\nDetails URL:\nhttps://medicine.yale.edu/event/using
 -marketscan-data-at-yale/\n
DTEND;TZID=America/New_York:20261202T170000
DTSTAMP:20260918T093152Z
DTSTART;TZID=America/New_York:20261202T150000
GEO:41.303666;-72.932218
LOCATION:Yale School of Public Health (LEPH)\, 115\, 60 College Street\, N
 ew Haven\, CT\, United States
SEQUENCE:0
STATUS:Confirmed
SUMMARY:Using MarketScan Data at Yale
UID:ceda39a0-10e4-41b1-9643-6da51270279a
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