Visualising Logistic Regression: Application of coloring book technique in a reproducible ggplot2 system
This webinar is part of the Power of Population Data Science Series
Visualising results of statistical modeling is a key component of data science workflow. Statistical graphs are often the best means to explain and promote research findings. However, in order to find that one graph that tells the story worth sharing, we sometimes have to try out and sift through many data visualizations. How should we approach such a task?
Probabilistic linkage of national immunisation and state-based health records for a cohort of 1.9 million births to evaluate Australia’s childhood immunisation program
This webinar is part of the Power of Population Data Science Series
Several countries have developed national immunisation registers, but only the Nordic countries have linked their registers to other health data in order to comprehensively evaluate the ‘real world’ effectiveness of vaccines.
Future Directions in Probabilistic Linkage
This webinar is part of the Power of Population Data Science Series
Probabilistic linkage as currently implemented is probabilistic in name only. The application of thresholds and clerical review reduce probabilistic linkage to being essentially deterministic once more; all record pairs are treated as either links or nonlinks.
Are you a Population Data Scientist?
This webinar is part of the Power of Population Data Science Series
Information is increasingly digital, creating opportunities to respond to pressing issues about human populations in near real time using linked datasets that are large, complex, and diverse.
Data File Orientation Toolkit: Enabling Administrative Data Quality Assessment
This webinar is part of the Power of Population Data Science Series
In the United States, state and local agencies administering government assistance programs have in their administrative data a powerful resource for policy analysis to inform evaluation and guide improvement of their programs. Understanding different aspects of their administrative data quality is critical to guide informed use of such data files for analyses.
Lessons learned: It takes a village to understand inter-sectoral care using administrative databases across jurisdictions
This webinar is part of the Power of Population Data Science Series
The Canadian Team to Improve Community-Based Cancer Care along the Continuum (CanIMPACT) is a pan-Canadian group of researchers, primary care providers (PCPs), cancer specialists, patients and caregivers. The team members have expertise in epidemiology, biostatistics, knowledge translation, qualitative methods, and community-based pragmatic trials.
Record linkage to enhance consented cohort and routinely collected health data from a UK birth cohort
This webinar is part of the Power of Population Data Science Series
In longitudinal health research, combining the richness of cohort data to the extensiveness of routine data opens up new possibilities, providing information not available from one data source alone. In this study, we set out to extend information from a longitudinal birth cohort study by linking to the cohort child’s routine primary and secondary health care data.
Sharing linked data sets for research: Results from a deliberative public engagement event in British Columbia, Canada
This webinar is part of the Power of Population Data Science Series
Information is increasingly digitized, and researchers desire access to an increasing variety and depth of data to answers questions that can serve the public good. This talk will describe the methods and results of a public deliberation event held in April 2018 on the acceptability of sharing of linked data for research. The event brought together 23 members of the public over two weekends.
Consensus Statement on Public Involvement and Engagement with Data-Intensive Health Research
This webinar is part of the Power of Population Data Science Series
Data-intensive health research is a fast moving field in which public involvement and engagement (PI&E) is essential for developing socially acceptable and ethically robust processes and ensuring a social license for research practices. Nevertheless while some consensus is emerging around the importance of PI&E, commitments and practices are varied.
The Good, the Bad, the Clunky: Improving the Use of Administrative Data for Research
- Read more about The Good, the Bad, the Clunky: Improving the Use of Administrative Data for Research
This webinar is part of the Power of Population Data Science Series
Administrative data arising via the operation of public service delivery systems hold great benefits for citizens and society providing they can be made available for research in a safe, socially-acceptable way. In recognition of this potential, the UK Administrative Data Research Network (ADRN) was established in 2013 to enable new research for public benefit.
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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