We acknowledge that the UBC Vancouver campus is situated on the traditional, ancestral, and unceded territory of the xʷməθkʷəy̓əm (Musqueam).
Unlock the world of advanced data analysis with SPPH 501! Dive into methods for analyzing longitudinal and correlated data, with a special focus on statistical modeling techniques like generalized linear mixed models, Bayesian hierarchical models, and more. This course combines conceptual learning with hands-on practice in statistical computing, using R and WinBUGs. Ideal for those interested in understanding how health outcomes relate to their determinants through sophisticated modeling approaches.
By the end, you’ll be equipped to translate complex health-related concepts into statistical models and apply various analytical methods to real-world data. The course includes a flexible final project, providing the opportunity to apply what you learn to a topic that interests you.
Pre-requisites include SPPH 400 and 500 or their equivalents.
Instructor: Dr. Ying C MacNab
Term: January – April 2024 (Term 2)
Days: Tuesdays
Time: 2:00 PM – 5:00 PM
Master the skills needed to analyze complex health data with SPPH 581C! This course introduces students to both traditional statistical methods and advanced machine learning techniques, such as cluster analysis, regression trees, and spline models. You’ll work hands-on with large clinical and administrative datasets using SAS, developing skills in data manipulation, cleaning, and analysis.
Ideal for students with a background in multivariate statistics and experience with programming languages like R, this course provides a practical, data-driven approach to health services research in Canada.
Instructor: Dr. Jason M. Sutherland
Days: Mondays
Time: 9:00 AM – 12:00 PM
Join SPPH 520 to delve into the world of communicable diseases! This course explores the unique features of infectious disease epidemiology, outbreak investigation, and effective control measures. You’ll learn to design intervention programs, investigate outbreaks, and understand how social determinants impact disease spread.
With a focus on hands-on learning, the course features interactive workshops, assignments, and a mid-term exam. You’ll also have the chance to present on key topics related to disease control, allowing for an immersive and practical approach to learning.
Pre-requisites include introductory epidemiology and statistics courses.
IInstructors: Dr. Abdulla Mamun & Dr. Mark Gilbert
Days: Mondays
TIme: 9:00 AM – 12 :00 PM
Explore the intersection of health and global forces with SPPH 523. This course examines how issues like poverty, conflict, and climate change shape global health and human security. You’ll critically analyze topics like health equity, governance, and the impacts of policy on public health. Engaging lectures, student-led discussions, and guest expert presentations make this course ideal for those interested in the global dimensions of health.
Key components include a reflective journal, a world café-style discussion, presentations, and a final research paper that will deepen your understanding of the broader challenges and solutions in global health.
Instructor: Dr. Jerry M. Spiegel
Days: Mondays
Time: 2:00 PM – 5:00 PM
Term 2
Ethical considerations, intention-to-treat versus efficacy trials, principles of sampling and exclusion, methods of allocation and techniques of randomization, parallel versus cross over design, monitoring treatment outcomes, adverse effects, stopping rules, analytic techniques and data interpretation, and logistical issues in the management of clinical trials.
Instructor: Khumbo Kalua
Tuesday: 9:30 am to 12:30 pm