Population Data BC

Testimonial - PHDA, Samantha Salter

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How did you learn about the program and what motivated you to enroll in the PHDA course(s) you chose?: I learned about the program through emails from PopDataBC. I have been following PopDataBC since the organization was introduced to me during my MPH degree at UBC. I was motivated to enroll in the PHDA courses that I chose, because I was not offered the opportunity to take such courses during my MPH.

Testimonial - PHDA 04 Spatial Epidemiology and Outbreak Detection

Read more about Testimonial - PHDA 04 Spatial Epidemiology and Outbreak Detection

"The labs and the access to the SRTL were the biggest strengths of these courses. The SRTL had all the software, and all the data, and was really easy to access, and was well maintained and organized. The labs were applied, and had very tangible learning outcomes associated with them. They were practical in purpose, and effective in implementation via the SRLT. The labs were very smooth and impactful."

Testimonial - PHDA 03 Population Health and Geographical Information Systems

Read more about Testimonial - PHDA 03 Population Health and Geographical Information Systems

"I developed an understanding of not only how descriptive statistics can be geographically interpreted, but also how inferential statistics can be geographically interpreted. It taught me how to begin thinking spatially in-terms of patterns of health outcomes – neighbourhood make up, neighbourhood location, infrastructure, environmental concerns, etc."

Testimonial - PHDA, Allyson Rayner

Read more about Testimonial - PHDA, Allyson Rayner

How did you learn about the program and what motivated you to enroll in the PHDA course(s) you chose?: My MSc supervisor recommended them based on the learning goals I had for my Master’s degree. UBC doesn’t offer anything like it, so we needed to look for partner institutions.

Development of a prognostic prediction model to estimate the risk of multiple chronic diseases

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This webinar is part of the Power of Population Data Science Series

Methodological complexity may be a barrier to developing tools for multimorbidity risk prediction. Prognostic prediction models estimate patients’ risk of disease incidence, typically for a single disease independent of other chronic diseases incidence.

Does psychiatric genetic counselling affect hospitalizations?

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A man in a counselling session

Data access has been granted for a study to investigate whether psychiatric genetic counseling influences recipients’ mental health, specifically whether it impacts the frequency and duration of psychiatric-related hospitalizations.

What is the optimal timing of delivery for pregnant women who are overweight?

Read more about What is the optimal timing of delivery for pregnant women who are overweight?

A new born baby

Data access has been approved for a study which aims to provide evidence-based recommendations for the optimal obstetric management of overweight and obese women.

Quantile Regression - An Introduction

Read more about Quantile Regression - An Introduction

This webinar is part of the Advanced Methods Webinar Series

Regression is used to examine the relationship between one or more explanatory (independent) variables and an outcome (dependent) variable. Ordinary least squares regression looks at the effect of explanatory variables on the average value of the outcome.