ISCB Survival Analysis Course with Prof. Hein Putter

Czech National Group of the International Society for Clinical Biostatistics, 

in cooperation with the Institute of Computer Science AS CR in Prague, and, 

Faculty of Mathematics & Physics of the Charles University in Prague

are delighted to invite you to attend

 One-day in-person course on

„Dynamic Prediction in Survival Analysis“

presented by

Hein Putter

Professor of Medical Statistics at the Biomedical Data Sciences of the Leiden University Medical Centre in Leiden, the Netherlands

Hein Putter Brief Biography

 Hein Putter is a Professor of Medical Statistics at Leiden University Medical Center, The Netherlands. He completed his PhD studies at the Department of Mathematical Statistics at Leiden University. After having worked as post-doc at the University of Amsterdam, Free University Amsterdam, and Cambridge University, he has been employed at the Department of Biomedical Data Sciences of the Leiden University Medical Centre (LUMC), Leiden, the Netherlands, from 2000 onwards. In 2010 he was appointed full professor.

Hein's main research topic of interest is complex survival data, such as competing risks, multi-state models and frailty models. An important theme in his work is dynamic prediction; the development of prediction models that take into account event history of an individual, as well as his/her prognostic factors. He co-authored the CRC Chapman & Hall book “Dynamic Prediction in Clinical Survival Analysis” with Hans van Houwelingen. 

WHERE

We are happy to confirm that after three years' break the course is scheduled again as an in-person course.

The course will take place on Friday 3 NOV 2023 at the Institute of Computer Science of the Czech Academy of Sciences, Pod Vodárenskou věží 2, 182 00 Prague 8 - Ládví.

The course material (slides) will be made available to registered course participants approximately 1 week ahead of the course schedule. 

WHEN                                               

3 November 2023 (Friday), 9:00 AM through 4:30 PM Central European Standard Time (CEST), i.e. a winter time. The time shift to standard (winter) time will be applied on Sunday 29th OCT 2023 at 3 am, the clock will shift back 1 hour to 2 am.

REGISTRATION DEADLINE       

27 October 2023 (Friday), 12:00 CEST (noon-time)

Important !!: 

• Before you make a payment, please, make an e-mail inquiry with the Course Secretary, Ms. Lenka Semeráková, for confirmation of your participation (semerakova@cs.cas.cz)

• The number of course participants is limited to 30. Should the course reach its capacity, a notification will be placed here

• The payment has to be received by this date

COURSE ABSTRACT

Prediction models play an important role in clinical practice, in counseling patients and guiding treatment decisions. The vast majority of these prediction models are constructed from “baseline”, a well defined clinical moment, such as diagnosis or start of treatment. But also after this initial moment prognosis of the patient remains important, and possibly new treatment decisions have to be made. This means that the original prediction has to be updated at later moments, and additional relevant information needs to be taken into account. We refer to this as dynamic prediction. The additional information can come in the form of longitudinal measurements of biomarkers or knowledge of the occurrence of relevant clinical events.

This course will cover different aspects of and methods for dynamic prediction in clinical survival analysis. We will cover two “schools” of obtaining dynamic predictions, joint models and multi-state models on the one hand, and landmarking on the other hand.

Plenty of examples will be discussed throughout the course, and methods will be illustrated on clinical data. Occasionally, code in R will be shown to illustrate the usage of the methods, but knowledge of R is not required.

REFERENCES

1. Hans C. van Houwelingen, and Hein Putter. Dynamic prediction in clinical survival analysis, 2011, CRC Press.

2. Hans C. van Houwelingen, and Hein Putter. Dynamic predicting by landmarking as an alternative for multi-state modeling: an application to acute lymphoid leukemia data. Lifetime Data Anal. 2008 Dec;14(4):447-63. doi: 10.1007/s10985-008-9099-8. Epub 2008 Oct 3. PMID: 18836831; PMCID: PMC2798037.

3. Hein Putter, M. Fiocco, M. and R. B. Geskus. Tutorial in biostatistics: competing risks and multi‐state models. Stat. Med. 26, 2389–2430 (2007).

COURSE SCHEDULE

• REGISTRATION

  • 8:30 - 9:00 Registration of the participants

• LUNCH

  • 12:30 - 13:00 Lunch break

• COFFEE BREAKS

  • 10 minutes between the successive sessions

The course consists of four blocks of approximately 90 minutes each; two in the morning and two in the afternoon

• Morning 1

  • A review of classical survival analysis techniques, but with emphasis on dynamic use of these techniques

• Morning 2

  • Dynamic prediction based on multi-state models and joint models

• Afternoon 1

  • Dynamic prediction based on landmarking

• Afternoon 2

  • Modern advances in multi-state models, joint models and landmarking

REGISTRATION RATES

Early Bird (until 15 September 2023)

ISCB student member* 1 500 CZK (60 EUR)

ISCB regular member* 2 000 CZK (80 EUR)

Non-ISCB member – academia 4 000 CZK (160 EUR)

Non-ISCB member – business 10 000 CZK (400 EUR)

Regular (16 September – 27 October 2023)

ISCB student member* 2 000 CZK (80 EUR)

ISCB regular member* 2 500 CZK (100 EUR)

Non-ISCB member – academia 5 250 CZK (210 EUR)

Non-ISCB member – business 13 250 CZK (530 EUR)

(*) Note: ISCB membership is required for 2023 and 2022. For doctoral students, the ISCB membership for 2023 will be sufficient.

Payments by bank transfer ONLY

(All international payments have to be made in EUR)

ACCOUNT INFORMATION

For all domestic (CZK) and international transfers (EUR):

Bank's name and address   Fio banka, a.s., V Celnici 1028/10, 11721 Praha 1, Czech Republic

Account owner                      Mezinárodní společnost pro klinickou biostatistiku v České republice, z.s.

Account number                   2100009829 / 2010  

IBAN                                        CZ3820100000002100009829

BIC code/SWIFT                     FIOBCZPPXXX

• For institutions making payments on behalf of their employees: The payment identification number (variabilní symbol) is 20231103

• Please, remember to state the name of an employee on whose behalf the payment is made in the comment for the payment recipient (poznámka pro příjemce).

CANCELLATION INFORMATION

Cancellation fees apply as explained below:

• before 1 October 2023: 10 EUR

• 1 through 29 October 2023: 40 EUR

• after 29 October 2023: full paid amount

COURSE VENUE

Institute of Computer Science, Czech Academy of Sciences, Pod Vodarenskou vezi 2, 182 00 Prague, Czech Republic 

COURSE SECRETARY

Ms. Lenka Semeráková, Institute of Computer Science, Czech Academy of Sciences, tel. +420 266 053 640, e-mail: semerakova@cs.cas.cz