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THE
FIELDS INSTITUTE FOR RESEARCH IN MATHEMATICAL SCIENCES
Thematic
Program on Statistical Inference, Learning, and Models
for Big Data , January to June, 2015
March 23-27, 2015
Workshop on Big Data in Health Policy |
Organizing
Committee |
Lisa
Lix (Chair)
Constantine Gatsonis
Sharon-Lise Normand
Therese Stukel
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Overview
of Program:
The program will feature presentations and short workshops from
statisticians, health policy researchers, and government representatives
to examine topics related to the use of large, observational datasets
in health policy research. Areas of focus include (a) enabling/disabling
factors in the use of large databases in health policy contexts,
(b) causal inference techniques, (d) combining databases and the
use of data synthesis/meta-analytic techniques, (e) presentation
and visualization of information. Examples will be drawn from pharmacoepidemiology,
health services, public health, and health economics.
Format: The workshop will use panel sessions,
short workshops, presentations, and small-group discussions to address
the workshop themes.
Schedule
Monday March 23
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9:00-9:30
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On site registration and morning coffee
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9:30-10:00
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Welcome and overview of the week by Program Committee
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10:00-12:00
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12:00-1:30
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Lunch break
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1:30-2:30
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2:30-3:00
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Tea break
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3:00-4:00
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4:00+
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Reception with cash bar
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Tuesday March 24
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9:15-9:30
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Welcome and IntroductionsProgram Committee
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9:30-10:30
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Patrick Heagerty, University of Washington
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10:30-11:00
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Break
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11:00-12:00
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12:00-1:30
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Lunch
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1:30-2:30
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2:30-3:00
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Break
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3:00-4:00
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Wednesday March 25
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9:30-9:45
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Welcome and Introductions Program Committee
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9:45-12:00
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12:00-1:15
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Lunch
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1:15-2:00
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2:00-3:00
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3:00 -3:30
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Thursday March 26
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9:15-9:30
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Welcome and Introductions by Program Committee
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9:30-12:30
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12:30-1:30
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Lunch
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1:30-2:30
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2:30-3:00
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Break
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3:00-4:00
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Friday March 27
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9:15-9:30
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Welcome and IntroductionsProgram Committee
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9:30-10:30
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Danica Marinac-Dabic, Center for Devices and
Radiological Health, Food and Drug Administration (Remote Lecture)
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10:30-10:45
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Break
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10:45-11:45
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12:00-1:00
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Closing session by Lisa Lix
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