34th International Summer School of Epidemiology

 

COURSE 2: Advanced Epidemiologic Analysis of Time-To-Event-Data

Jess Edwards

This course covers epidemiologic analysis of time-to-event data and emphasizes weighing threats to the accuracy of inferences. Also known as "survival analysis", analysis of time-to-event data considers the length of time until a health outcome and is therefore useful when the timing of outcomes is of interest. Such analyses also enable inference in settings where participants may enter a study late or leave a study early. This course includes modules on describing events in time, working with open cohorts with late entry and loss to follow up,and estimating associations and causal parameters in open cohorts. The second half of the course addresses methods to account for common sources of bias in these settings, including selection bias, confounding, missing data and generalizability bias.