Intro to Multistate Modeling Approaches for Analyzing Population-wide Health Administrative Data


This webinar is part of the Advanced Methods Webinar Series

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:

Data linkage

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.

COVID-19 Canada Open Data and Visualization with R Shiny


This webinar is part of the Advanced Methods Webinar Series

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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