Statistical Analysis of Large Administrative Health Databases: Emerging Challenges and Strategies (19w5027)

Arriving in Banff, Alberta Sunday, February 17 and departing Friday February 22, 2019

Organizers

(McGill University)

(Simon Fraser University)

Sherri Rose (Harvard University)

Grace Yi (University of Waterloo)

Description

The Banff International Research Station will host the "Statistical Analysis of Large Administrative Health Databases: Emerging Challenges and Strategies" workshop in Banff from February 17 to February 22, 2019.


Administrative systems are used to routinely collect information on health. These systems can be
exploited for research purposes, to provide answers to important questions about safety and effectiveness
of medications, health services utilization and effectiveness, and costs and benefits of health systems.
Statistical tools to work with these administrative systems, often involving machine learning tools, are
rapidly being developed; however, much progress is still required.

Administrative data are collected for administrative, not research purposes. As such, the type and
quality of information used needs to be accounted for. Incomplete data and measurement error pose
particular problems. This workshop will assess the state of the art for administrative data analysis,
identify areas where new research is needed, and initiate collaborations on these topics.


The Banff International Research Station for Mathematical Innovation and Discovery (BIRS) is a collaborative Canada-US-Mexico venture that provides an environment for creative interaction as well as the exchange of ideas, knowledge, and methods within the Mathematical Sciences, with related disciplines and with industry. The research station is located at The Banff Centre in Alberta and is supported by Canada's Natural Science and Engineering Research Council (NSERC), the U.S. National Science Foundation (NSF), Alberta's Advanced Education and Technology, and Mexico's Consejo Nacional de Ciencia y Tecnología (CONACYT).