IMB9335 December 9-13, 2019
Monday
9.30-10.00: Registration
10.00-11.00: Introduction to the course and basic concepts
11.00-12.00: Statistical methods for one and more samples: Kaplan-Meier and
Nelson-Aalen estimators, log-rank type tests
12.00-13.00: Lunch
13.00-14.00: Statistical methods for one and more samples, continued
14.00-14.30: Introduction to R
14.30-16.00: Practical exercises on statistical methods for one and more samples
Tuesday
9.00-11.00: Competing risks and multistate models
11.00-12.30: Practical exercises on competing risks and multistate models
12.30-13.30: Lunch
13.30-15.00: Cox regression
15.00-16.00: Practical exercises on Cox regression
Wednesday
9.00-10.00: Cox regression, continued
10.00-11.00: Practical exercises Cox regression
11.00-12.00: Cox regression with high dimensional covariates
12.00-13.00: Lunch
13.00-14.30: Cox regression with high dimensional covariates, continued
14.30-16.00: Practical exercises for high dimensional covariates
Thursday
9.00-10.00: Analysis of nested case-control and case-cohort data
10.00-11.00: Practical exercises for nested case-control and case-cohort data
11.00-12.30: Unobserved heterogeneity in survival analysis
12.30-13.30: Lunch
13.30-15.00: Frailty models for recurrent events and clustered data
15.00-16.00: Practical exercises recurrent events and clustered data
Friday
9.00-10.30: Additive hazards regression
10.30-11.30: Practical exercises for additive regression
11.30-12.30: Lunch
12.30-14.30: Causality and causal inference for survival data
14.30-15.00: Closure of the course and information on the exam Project