This course gives an overview of concepts and methods for estimating causal effects of treatments on censored time-to-event outcomes. There will be an emphasis on practical implementation, and the course will combine lectures and demonstrations in R. At the end of the course, participants should be equipped to perform analyses to address questions about causal effects of treatments on their own data.
Topics discussed include choices of causal estimands, censoring and identification assumptions, and methods for confounding adjustment. Both point treatments and time-dependent treatment strategies will be covered, and methods such as standardisation/g-computation, inverse probability of treatment weighting and cloning-censoring-and-weighting approaches. Links will be made to the target trial framework.
More details about the course, including location, can be found at the NBBC web pages. For an updated program, see here.
Jon Michael Gran, Professor at the University of Oslo.
Ruth Keogh, Professor at the London School of Hygiene & Tropical Medicine.
Registration is now closed.
For questions about the course please contact the course tutors by email on j.m.gran “at” medisin.uio.no or ruth.keogh “at” lshtm.ac.uk. For practical questions, such as registration etc, contact the conference organisers through the web pages of the Nordic Baltic Biometrics Conference (NBBC).