Course with Prof. Hein Putter, Ph.D.

The Czech National Group of the 
International Society for Clinical Biostatistics



in cooperation with the

Institute of Computer Science AS CR in Prague &

Faculty of Mathematics and Physics, Charles University in Prague

http://www.mff.cuni.czWorld of Statistics

is delighted to invite you to attend 

a 1-day course on

Competing risks, multistate models and 

dynamic prediction in survival analysis


presented by

Prof. Hein Putter, Ph.D.

Professor of Medical Statistics and Bioinformatics

Leiden University Medical Center, The Netherlands


Where:                                  Institute of Computer Science AS CR 
                                             (in Czech: Ústav informatiky AV ČR, v.v.i.)
                                             Room # 318 
                                             Pod Vodárenskou věží 2
                                             Prague 8 - Ládví (Metro red line "C", exit "Ládví")
                                             Czech Republic

When:                                  May 29, 2015 (Friday)
Registration deadline:          April 30, 2015 (payment needs to be received by this date)

Registration:                   The registration consists of two steps
(i) Informing the Course Secretary (CS) about your intent to pay the registration fee and asking her for an approval to register for the course 

Note:    Please, note that the course capacity is limited to maximum 30 participants (see the CS' contact details below). Should the course reach its capacity, a notification will be placed here.

(ii) Posting appropriate payment to the bank account shown below (bank transfer only)         

Registration rates:


Early Bird

(until Jan 31, 2015)


(Feb 1 – April 30, 2015)

ISCB student member*

1 500 CZK

60 EUR

2 000 CZK

80 EUR

ISCB regular member*

2 000 CZK

80 EUR

2 500 CZK

100 EUR

Non-ISCB member – academia

4 000 CZK

160 EUR

5 250 CZK

210 EUR

Non-ISCB member – business

10 000 CZK

400 EUR

13 250 CZK

530 EUR

        *) At least 1 past year membership with the ISCB required

Payments only via bank transfer 
(*** all international payments need to be made in EUR ***)

All domestic (CZK) and international transfers (EUR), including Slovakia:

Account number:                 2100009829 / 2010

Bank account owner:           Mezinárodní společnost pro klinickou biostatistiku v České republice, o.s.

IBAN:                                   CZ3820100000002100009829

BIC code/SWIFT:                   FIOBCZPPXXX

Bank name and address:      Fio banka, a.s., V Celnici 1028/10, Praha 1, Czech Republic


Course Venue:
Institute of Computer Science AS CR
Pod Vodarenskou vezi 2
182 07 Prague
Czech Republic
Course Secretary:

Ms. Lenka Semeráková

Dept. of Medical Informatics & Biostatistics

Institute of Computer Science AS CR

Tel. +420 266 053 640

The Course Outline

Competing risks and multi-state models play an increasingly important role in the analysis of time to event data. Competing risks occur in the analysis of time-to-event data with multiple endpoints. Multi-state models extend competing risks models to the analysis of what happens beyond this first event, by allowing individuals to progress through different states. 

    This course will focus on methodology for competing risks and multi-state models, with a focus on dynamic prediction. The dynamic aspect of dynamic prediction involves using information on events and/or measurements up to the present, in order to ‘update’ the prediction. It will be shown in this course how dynamic predictions may be obtained using probability calculations in multi-state models or using the concept of landmarking. Analyses will be illustrated using R, in particular the ‘mstate’ and ‘dynpred’ packages.

    Participants are expected to have a fair knowledge of the techniques from classical survival analysis, including time-dependent covariates and left truncation (‘delayed entry’).

The Course' Content

  • Competing risks
    • Concepts: informative censoring, cause-specific hazards, cumulative incidence functions, sub-distribution hazards
    • Inference: non-parametric estimation, regression models for the cause-specific hazards, Fine-Gray regression
  • Multi-state models
    • Concepts: states, transitions, transition hazards/intensities, transition probabilities, Markov assumption, time scales
    • Inference: non- and semi-parametric estimation of transition hazards, regression models for the transition hazards
  • Dynamic prediction
    • What is it and why is it important?
    • Dynamic prediction in multi-state models; Aalen-Johansen
    • Dynamic prediction using landmarking

Tentative Course Schedule

  8:00 - 9:00  Registration

  9:00-12:00  Morning session (includes 20 min coffee break)

    • Competing risks
    • Multi-state models (concepts and estimation)

12:00-13:00  Lunch break

13:00-16:00  Afternoon session (includes 20 min coffee break)

    • Dynamic prediction in multi-state models
    • Dynamic prediction using landmarking

16:10-16:30  Closing discussion and course evaluation