Two methods for dynamic prediction

Event Date: 
Thursday, 21 September, 2017 - 10:00
Liesbeth de Wreede

An important extension of standard survival analysis takes into account intermediate events, both as an outcome of interest and as a predictor for terminating events. We will present two methods for predicting the impact of an intermediate event on subsequent outcomes which can both be considered as extensions of the Cox model. In the first, a Markov multi-state model is used to estimate the transition probabilities between all events of interest and the effect of covariates on them. In the second, a series of landmark models is built which are connected by a supermodel. Both models will be illustrated on a dataset describing outcomes after allogeneic hematopoietic stem cell transplantation for patients with CLL.

This presentation is partly based on joint work with Hein Putter and partly on work by Hein Putter and Hans van Houwelingen.

About IBMI

Institute for Biostatistics and Medical Informatics (IBMI), formerly Institute for BioMedical Informatics (so still IBMI) was founded by the Faculty of Medicine as a result of a need for a unit which would perform, or coordinate, tasks related to data analysis and providing information, relevant for research in medicine. The programme of the institute, and its development, have been adjusting thorugh time to changes in financing and technological progress, but the basic aim remain the same: to support research in medicine. This is achieved through the following tasks:


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