Spatial Dimensions of Health with ArcGIS
Overview
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.
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.
Can texting help manage asthma?
Data access has been approved for a project to evaluate a pharmacist-initiated adherence intervention effort for asthma patients that involves education, monthly text messages and pharmacist follow-up of non-adherent patients.
Measurement in Administrative Health Data: Case Definitions, Algorithms, and Validation Studies
This webinar is part of the Advanced Methods Webinar Series
Despite not being collected for research purposes, administrative health data (e.g., outpatient physician billings, hospitalizations, and prescription drug data) are increasingly being used in epidemiological analyses.
Methods for Modelling Non-Linear Relationships
This webinar is part of the Advanced Methods Webinar Series
This webinar will discuss the options for including continuous covariates in a regression model, and in particular, methods for modeling non-linear relationships. In his book, 'Clinical Prediction Models,' Ewout Steyerberg presents a hierarchy of procedures for including a continuous predictor, starting with dichotomizing the variable and moving to modeling the variable using restricted cubi
Visualization and Reproducible Reports in R
This webinar-based training event takes place over four sessions:
Tuesday March 31 | Thursday April 2 |
Tuesday April 7 | Thursday April 9th
Insights in Tableau: Applied Data Visualization
This webinar-based training series takes place over four sessions:
Session 1 - Wednesday June 17 | Session 2 - Wednesday June 24
Session 3 - Wednesday Jul 8 | Session 4 – Wednesday July 15
Advanced Methods for the Analysis of Population-wide Administrative Health Data
This webinar series offered by Population Data BC in partnership with ICES highlighted the value of population-wide administrative data and related advanced analytic methods for health research.
Introduction to Causal Inference: Propensity Score Analysis in Healthcare Data
This webinar is part of the Advanced Methods Webinar Series
This webinar will focus on learning causal inference approaches in a healthcare data analysis context with a particular focus on explaining the application of propensity score analysis in a real-world data analysis context. The session will outline how these analyses are different than conventional regression methods and will address key assumptions/diagnostics of these models.
University of British Columbia, 201-2206 East Mall, Vancouver BC V6T 1Z3
Health Data Research Network Canada (HDRN) member
International Population Data Linkage Network (IPDLN) member
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