Two-part DSBS Course: Survival Analysis in Clinical Trials
Lecturers
Per Kragh Andersen, Section of Biostatistics, University of Copenhagen
Henrik Ravn, Biostatistics, Novo Nordisk A/S
Course
The course will be centered on real-life data examples from clinical trials.
It will be possible to sign up only for the first, the second or both parts of the course.
Part 1
Part 1 will be an introduction to survival analysis - concepts and results, extending into analysis of competing risks.
Part 2
Part 2 will cover analysis of multi-state models for recurrent events, including events with duration and/or severity, and competing risks.
Venue
Lundbeck A/S, Ottiliavej 9, 2500 Valby
Format
The course will consist of lectures and exercises.
Participants must bring their own laptop.
Registration
The course fee is DKK 2000 per part, corresponding to DKK 4000 for the full course.
Please register for the first, the second or both parts of the course.
Deadline
Please register before January 4, 2019
To register, please send an email to commres1351@Lundbeck.com.
Joint registration by department is warmly welcomed.
There is a limit on the number of attendees. The first come, first serve principle will be applied.
Course plan
Part 1
17 January - Standard survival analysis:
Independent censoring
Kaplan-Meier & Nelson-Aalen
Occurrence/exposure rates
Log-rank test
Cox model
SAS PROC LIFETEST and PHREG
18 January - Competing risks:
Cause-specific hazard (Nelson-Aalen)
Cumulative incidence (Aalen-Johansen)
Regression:
- Cause-specific hazard function (Cox)
- Hazard model for the sub-distribution (Fine-Gray)
SAS PROC LIFETEST and PHREG
Part 2
31 January - Multi-state models:
Recap of part 1
Recurrent events – intensity based models
Frailty models
SAS PROC PHREG
1 February - Marginal analyses of recurrent events:
Without competing risks:
- Mean function (Nelson‐Aalen and robust variance)
- Mean function regression
With competing risks
SAS PROC PHREG