2018 ISCB Course with E. Lesaffre and A. Komárek

2018 ISCB Course in Biostatistics 
with Emmanuel Lesaffre 
& Arnošt Komárek

Czech National Group 
of the International Society for Clinical Biostatistics



in cooperation with

Institute of Computer Science AS CR in Prague &

Faculty of Mathematics & Physics, Charles University in Prague

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

is delighted to invite you to attend 

a 1-day ISCB Course on

Analysis of Interval-Censored Data: 

Does Interval Censoring Matter?


presented by

Prof. Emmanuel Lesaffre, Ph.D.

Professor in Biostatistics

Leuven Biostatistics & Statistical Bioinformatics Centre (L-BioStat)

Department of Public Health and Primary Care

Katholieke Universiteit Leuven

Kapucijnenvoer 35, Leuven, Belgium


Assoc. Prof. Arnošt Komárek, Ph.D.

Associate Professor in Mathematical Statistics

 Department of Probability & Mathematical Statistics

Charles University in Prague 

Sokolovská 49/83, Prague 8, Czech Republic


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

Institute of Computer Science, Czech Academy of Sciences

When                      November 2, 2018 (Friday)

Registration deadline     October 15, 2018, 24:00 hrs CET 
                          (payment needs to be received by this date)

Registration consists of two steps
  • Informing the Course Secretary (CS) about your intent to pay the registration fee and asking her for an approval to register for the course. 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
  • Posting an appropriate payment to the bank account shown below (bank transfer only)         

Registration rates


Early Bird

(until May 31, 2018)


(June 1 – Sept 30, 2018)

ISCB student member(*)

1500 CZK

60 EUR

2000 CZK

80 EUR

ISCB regular member(*)

2000 CZK

80 EUR

2500 CZK

100 EUR

Non-ISCB member – academia

4000 CZK

160 EUR

5250 CZK

210 EUR

Non-ISCB member – business

10000 CZK

400 EUR

13250 CZK

530 EUR

(*) Note: ISCB membership is required for 2017 and 2018

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

All domestic (CZK) and international transfers (EUR)

Account number:             2100009829 / 2010

IBAN:                       CZ3820100000002100009829

BIC code/SWIFT:             FIOBCZPPXXX

Bank name and address:      Fio banka, a.s.

                            V Celnici 1028/10

                            117 21 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 Statistical Modelling

Institute of Computer Science AS CR

Tel. +420 266 053 640

Course Outline

Interval-censored data occur in basically all empirical research but is rarely taken into account properly. Appropriate methodology has been developed for a large number of problems. Despite the available statistical technology, interval-censoring is often swept under the carpet. A notorious example is the analysis of cancer trials with progression-free survival as outcome, in which almost invariably interval censoring is ignored. We argue that one of the reasons that the appropriate technology is not used is the ignorance of many statisticians what the effects are of ignoring interval-censoring, but also what software is available. 

In the CRC Press book (Survival Analysis with Interval-Censored Data: A Practical Approach with examples in R, SAS and BUGS by Kris Bogaerts, Arnošt Komárek, Emmanuel Lesaffre, 2017), we give an overview of the pitfalls of ignoring interval-censoring, of the different approaches both in a frequentist and a Bayesian context and the currently available statistical software.

Course Content

Session 1 – Introduction to censoring mechanisms, single sample techniques and two-group comparisons, in frequentist context + applications

Session 2 – Regression models and some multivariate problems in frequentist context + applications

Session 3 – Estimation of survival distribution in a parametric and flexible Bayesian way + applications

Session 4 – Regression and multivariate problems in Bayesian context + applications

Note: Focus is on R and BUGS software. SAS software will not be explicitly treated, but examples in SAS will be provided. Also, non-parametric Bayesian methods will be largely ignored in the course

Learning Outcomes

Knowledge – Why interval censoring needs to be addressed, what methods are available, but even more importantly what software is available on the different platforms: R, (SAS,) BUGS

Attitude – Participants will be able to judge when it is important to take interval censoring into account


The course is intended for applied statisticians, biostatisticians and epidemiologists with a decent background in principles of classical statistical inference. Participants are expected to have a working knowledge of R, survival analysis of right-censored data and regression models. A basic knowledge of Bayesian methodology is advantageous, nevertheless not strictly required (needed basics will be provided during the course). 

About the Instructors

Emmanuel Lesaffre is Professor of Biostatistics at I-Biostat, KU Leuven, Belgium. His research interests include Bayesian methods, longitudinal data analysis, statistical modelling, analysis of dental data, interval censored data, misclassification issues and clinical trials. He has written more than 300 papers in peer-reviewed statistical and medical journals. He is the Founding Chair of the Statistical Modelling Society, Past-president of the International Society for Clinical Biostatistics and Fellow of ISI and ASA. He (co-)authored five books among which the recently published Wiley book Bayesian Biostatistics (2012) together with Andrew Lawson. He has taught many statistical courses on a variety of topics in regular Master programs, but also short courses on-site both at the national, as well as international level. The audiences were medical students and researchers, engineers, mathematicians and statisticians.

Arnošt Komárek is Associate Professor of Statistics at Charles University, Prague. His subject area expertise covers mainly survival analysis with the emphasis on interval-censored data and classification based on longitudinal data. He is author of 15 methodological papers published in scholarly statistical journals (subject of nine of these papers is directly related to the topic of the proposed short course) and 28 other papers resulting from collaborative research published mostly in biomedical oriented journals. He is past Chair of Statistical Modelling Society and Editor of Statistical Modelling: An International Journal. He is also author of several software tools accompanying the published papers, allowing for user friendly applications of proposed methodologies. With respect to the proposed short course topic, see R packages smoothSurv, bayesSurv and mixAK available from CRAN at http://www.R-project.org. As of 2007, he teaches a variety of statistical courses at Charles University at both Bachelor and Master levels for students targeting a degree in statistics, as well as in science. Since 2010, he taught in the Czech Republic several one or two-day short courses in introductory biostatistics, survival analysis and generalized linear models with R, STATISTICA or SAS oriented towards applied audience. He also taught several courses on R programming.

Tentative Course Schedule

 8:00-9:00   Registration

 9:00-12:00  Morning session (includes 15 min coffee break)

12:00-13:00  Lunch break

13:00-16:00  Afternoon session (includes 15 min coffee break)

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