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