SCIENTIFIC PROGRAMS AND ACTIVITIES

November 20, 2017

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

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
9:00-9:30
On site registration and morning coffee
9:30-10:00
Welcome and overview of the week by Program Committee
10:00-12:00
Panel Presentation + Q & A
Big Data, Causal Inference, and Health Policy: An Overview

Michael Schull, Institute of Clinical Evaluative Sciences
Mark Smith, Manitoba Centre for Health Policy
Recent challenges (and opportunities) of working with "Big Data" in health research
Arlene Ash, University of Massachusetts Medical School
Seeking needles of health wisdom in haystacks of big data
12:00-1:30
Lunch break
1:30-2:30
Jonas Peters, Seminar für Statistik, Departement Mathematik, Zurich, Switzerland (Remote Lecture)
Graphical models/visualization
2:30-3:00
Tea break
3:00-4:00
Mahmoud Azimaee, Institute for Clinical Evaluative Sciences
Mark Smith, Manitoba Centre for Health Policy
Emerging data quality assessments of administrative data for use in research
4:00+
Reception with cash bar
Tuesday March 24
9:15-9:30
Welcome and IntroductionsProgram Committee
9:30-10:30
Patrick Heagerty, University of Washington
10:30-11:00
Break
11:00-12:00
12:00-1:30
Lunch
1:30-2:30
2:30-3:00
Break
3:00-4:00
Wednesday March 25
9:30-9:45
Welcome and Introductions Program Committee
9:45-12:00
12:00-1:15
Lunch
1:15-2:00
2:00-3:00
Constantine Gatsonis, Brown University (Remote Lecture)
Diagnostic test assessment using large databases
3:00 -3:30
Thursday March 26
9:15-9:30
Welcome and Introductions by Program Committee
9:30-12:30

Workshop:
Erica Moodie, McGill University
Marginal structural models

12:30-1:30
Lunch
1:30-2:30
Elizabeth Stuart, Johns Hopkins Bloomberg School of Public Health
Using big data to estimate population treatment effects
2:30-3:00
Break
3:00-4:00
Friday March 27
9:15-9:30
Welcome and IntroductionsProgram Committee
9:30-10:30
Danica Marinac-Dabic, Center for Devices and Radiological Health, Food and Drug Administration (Remote Lecture)
10:30-10:45
Break
10:45-11:45
David Henry, Dalla Lana School of Public Health, University of Toronto, and Institute for Clinical Evaluative Sciences
Being realistic about how Big Data can support health and health policy research
12:00-1:00
Closing session by Lisa Lix

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