BSTA 514 – Statistical Analysis of Time-to-Event Data
Biography
This course introduces students to analysis of time-to-event (i.e. survival) data, covering methods for estimation, hypothesis testing, and regression methods for censored data with covariates. Methods widely used in the health sciences are covered, including Kaplan-Meier (empirical) estimate of the survival function and its associated statistical tests. The Cox proportional hazards regression model is presented in detail, along with some extensions of this model. As time allows, other topics will be introduced including parametric survival models, frailty models and/or models incorporating competing risks. Power and sample size computations for time-to-event data will also be introduced. Most assignments will be completed using statistical computing software. Contextualizing results in the context of health sciences problems and research questions is stressed throughout the course.
Prerequisite
A standard pre-calculus course in probability & statistics (e.g. BSTA 511), a course in applied linear regression models (e.g. BSTA 512).
¹ CEPH Primary Instructional Faculty
² CEPH Non-Primary Instructional Faculty
Experienced Faculty With Diverse Backgrounds
More than 150 faculty members work within the OHSU-PSU School of Public Health. They have a wide range of expertise, from monitoring and assessing health risks and opportunities in populations, to helping build health-supporting social environments through policy, advocacy, and programs. They are educators, advisors, researchers, practitioners and community leaders. They come from backgrounds in quantitative, behavioral, environmental and social sciences, policy and government, exercise and health sciences and anthropology, among many other areas. They all work in collaboration with each other and with community partners, and are especially focused on the training and education of future leaders and practitioners in the public health fields.
Have Questions About Our Faculty?
Contact us to learn more about our expert faculty and their experience in improving public health in the community.