Multistate models offer a convenient framework for examining disease progression over time. This webinar will focus on learning multistate modeling approaches in the context of population-wide health administrative data, with specific examples using cancer screening and symptom screening data among individuals residing in Ontario, Canada.
The webinar will:
Researchers may access the Data by submitting a detailed Data Access Request which is approved by the data provider. They then sign a Research Agreement with the Data Provider.
Population Data BC (PopData) supports research access to individual-level, de-identified longitudinal data on British Columbia’s 5 million residents. Linkage of data across different sectors, such as health, education, childhood development, workplace and the environment, enables the pursuit of innovative research that would not otherwise be possible.
Comprehensive tracking and reporting throughout the data access process is available to data providers via our custom online management tools.
Data providers can now view all their Data Access Requests (DARs) using DARonline. Features include:
The Secure Research Environment (SRE) is a Population Data BC service which provides Researchers with a central location for access to and processing of research data, secure storage and back up of their data extract and free software for data analysis.
We can provide secure, long-term storage of old versions of data for historical reference.
We have a process in place to store archival copies of research extracts for Researchers, in order to meet Research Ethics Board (REB) requirements, without expecting retention and access of data past a Data Provider’s approved retention date.
Spatial data is the focus of GIS: what can we learn from our spatial data? In this webinar series you will learn key GIS techniques used in the world today. This webinar will focus on three groups of GIS topics: the nuts & bolts of GIS data, GIS visualizations (like maps and graphs), and spatial analysis.
The COVID-19 Canada Open Data Working Group was founded in March 2020 in response to the need for accurate, up-to-date and accessible data on the COVID-19 pandemic in Canada. Unlike many datasets that provide only aggregate case counts, the working group dataset collects individual-level case data, which are particularly valuable during outbreaks but are seldom made available in real time.
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