This one-day workshop is the first in the CANSSI Prairies Workshop Series in Data Science. Babette Brumback, professor emerita in the Department of Biostatistics at the University of Florida, will speak on “Fundamentals of Causal Interference: With R.”
Join us in person or online.
CDN$75 – Students and postdoctoral fellows
CDN$150 – Non-students
(In-person attendees will receive a complimentary lunch.)
Register by August 8 for in-person attendance and by August 17 for virtual attendance.
One of the primary motivations for clinical trials and observational studies of humans is to infer cause and effect. Disentangling causation from confounding is of utmost importance. “Fundamentals of Causal Inference: With R” explains and relates different methods of confounding adjustment in terms of potential outcomes and graphical models, including standardization, doubly robust estimation, difference-in-differences estimation, front-door estimation, and instrumental variables estimation. These methods are compared in terms of estimating the average effect of treatment on the treated (ATT). The fundamentals of mediation analysis and adjusting for time-dependent confounding are also presented. Several real data examples, simulation studies, and analyses using R motivate and illustrate the methods throughout. The course assumes familiarity with basic statistics and probability, regression, and R. The course will be taught with a blend of lecture and worked examples.
8:30–9:00 a.m. | Registration
9:00–9:15 a.m. | Opening Remarks
9:15–10:45 a.m. | Module 1
10:45–11:00 a.m. | Morning Coffee Break
11:00 a.m.–12:30 p.m. | Module 2
12:30–1:30 p.m. | Lunch
1:30–3:00 p.m. | Module 3
3:00–3:15 p.m. | Afternoon Coffee Break
3:15–4:45 p.m. | Module 4
4:45–5:00 p.m. | Closing Remarks
Babette Brumback, PhD
Professor Emerita, Department of Biostatistics, University of Florida
Babette Brumback, Ph.D., is Professor Emerita in the Department of Biostatistics at the University of Florida. Her statistical research has concentrated on methods for longitudinal data analysis, causal modeling, bias adjustment, and analysis of data from complex sampling designs. She has also collaborated extensively on public health and medical studies concerning a broad array of research areas. Her professional activities include serving in 2014–2016 as Chair Elect, Chair, and Past Chair of the American Statistical Association Section on Statistics in Epidemiology, serving in 2015–2016 as President of the Florida Chapter of the American Statistical Association, serving from 2011–2015 as a member of the National Institutes of Health Study Section on Clinical and Integrative Cardiovascular Sciences, and serving in 2016–2017 on an Advisory Panel for the MMS Program of the National Science Foundation. She has also served as Associate Editor of Biometrics and as Statistical Editor of Psychosomatic Medicine. Dr. Brumback received her PhD in Statistics from the University of California, Berkeley, in 1996, followed by postdoctoral training in Biostatistics and Epidemiology at the Harvard School of Public Health from 1996–1999. She is an elected member of Delta Omega and a Fellow of the American Statistical Association.
The CANSSI Prairies Workshop Series in Data Science offers an excellent opportunity for individuals to enhance their knowledge and skills in various areas of data science. Through a series of engaging and interactive hybrid (online and in-person) sessions, participants have the opportunity to explore new topics, learn cutting-edge techniques, and connect with experts in the field.
In conjunction with the workshop, Babette Brumback will present an in-person statistics seminar on “Interesting Statistical Lessons in Providing Real World Evidence that the ensoETM Device Protects the Esophagus from Thermal Injury During Radiofrequency Ablation” organized by the Department of Statistics at the University of Manitoba on the evening of Monday, August 21, 2023. Registration is not required. For details, visit the event listing on the University of Manitoba website.