11-12 December 2014, Sydney
presented by the Statistics Department at Macquarie University
with Professor Hein Putter, Leiden University Medical School, Netherlands
targeted at statisticians, applied statisticians, biostatisticians, epidemiologists, finance modellers, actuaries.
Multi-state models are important methods for survival analysis which can be gauged as involving the “alive” and “dead” states and one possible transition between these two states. Moreover, the “alive” state can be further modelled using other intermediate states, such as different stages of an illness. Multi-state models are suitable to describe the movement of patients among various states. The main interests in these models include estimation of progression rates, assessing individual risk factors, survival rates or prognostic forecasting. Multi-state models are suitable for both biomedical and other applications in which time-to-event variables are analyzed. The presenter has developed the “mstate” package in R for the analysis of multi-state models. The package covers all steps of the analysis of multi-state models, from model building and data preparation to estimation and graphical representation of the results. It can be applied to non- and semi-parametric (Cox) models. The package is also suitable for competing risks models, as they are a special category of multi-state models.
About the presenter
Hein Putter received his PhD in Mathematical Statistics from the University of Leiden in 1994, under the supervision of Willem van Zwet, on the topic of resampling methods. After post-doc positions at the Department of Mathematics of the University of Amsterdam and of the Free University Amsterdam, and at the Statistical Laboratory of the University of Cambridge, he turned to medical statistics in 1998, working for the HIV Monitoring Fund and the International Antiviral Therapy Evaluation Center (IATEC), based at the Amsterdam Medical Center. In 2000, he was appointed Assistant Professor at the Department of Medical Statistics and Bioinformatics of the Leiden University Medical Center.
His research interests include statistical genetics, dynamical models in HIV, and survival analysis, in particular competing risks and multi-state models. Hein Putter collaborates closely with the Department of Surgery and the Department of Oncology of the LUMC, and with international organizations like the European Organisation for the Research and Treatment of Cancer (EORTC) and the European Group for Blood and Marrow Transplantation (EBMT). He serves as Associate Editor of Statistics and Probability Letters and Statistics in Medicine, and he was guest editor of special issues of Biometrical Journal (Putter et al. 2010) and Journal of Statistical Software (Putter 2011). He was one of the initiators of the IBS Channel Network. In 2010 Hein Putter was appointed Full Professor at the Department of Medical Statistics and Bioinformatics of the LUMC. Together with Hans van Houwelingen, he is the author of the book “Dynamic Prediction in Clinical Survival Analysis”, which appeared in 2012 for Chapman & Hall.
(i) To provide current understanding and methods of competing risks and multi-state modelling together with their application in medicine.
(ii) To introduce methods for dynamic prediction following the approach of Putter and Houwelingen (Chapman & Hall 2012).
(iii) To familiarize participants with the R package “mstate” and its use in applications from clinical medicine.
- Morning 1: Lecture, review of classical survival analysis techniques, with an emphasis on use for dynamic prediction
- Morning 2: Lecture, Competing risks
- Afternoon 1: Lecture, Multi-state models
- Afternoon 2: Computer practical 1, Competing risks and multi-state model
- Morning 1: Discussion of Computer practical 1
- Morning 2: Lecture, Landmarking
- Afternoon 1: Computer practical 2, Landmarking
- Afternoon 2: Discussion of Computer practical 2, Questions
Please note that registrations start at 8:30am on the first day.
Morning/afternoon tea and lunch are provided.
Course participants are required to bring their own laptop equipped with R and R Studio. This software can be downloaded from
To register, please click on the registration link in the blue box on the right.
Early Bird Deadline extended (until 17 November 2014):
SSAI Members: $600.00
From 18 November 2014:
SSAI Members: $700.00
Registrations close strictly on 8 December 2014. Places are strictly limited, so please book your place early.
For more information please contact A/Prof Jun Ma (email@example.com) or Prof Malcolm Hudson (firstname.lastname@example.org). A workshop flyer can be downloaded here.
Cancellations received prior to Thursday, 4 December 2014, will be refunded in full. Cancellations need to be accompanied by a valid credit card number, expiry date and CVV number which will be used to put the refund through. After this time no part of the registration fee will be refunded. However, registrations are transferable within the same organisation. Please advise any changes to email@example.com.
Occasionally workshops have to be cancelled due to a lack of subscription. Early registration ensures that this will not happen. However, please contact the SSAI Office before making any travel arrangements to confirm that the workshop will go ahead, because the SSAI will not be held responsible for any travel or accommodation expenses incurred due to a workshop cancellation.
|When:||11/12/2014 - 12/12/2014|
|Time:||9:00 am - 5:00 pm|
|Location:||Macquarie Graduate School of Management,
99 Talavara Rd,