Survival Analysis

Survival analysis is the study of time to event outcomes, such as the times from an initiating event (birth, diagnosis, start of treatment) to some event (relapse, recovery, death). Survival analysis is prominently used in the biomedical sciences, and also has important applications in the fields of engineering, economics or sociology.

Several phenomena are specific to survival data. Most importantly, ‘censoring’ occurs when it is not known when the event of interest takes place, but rather that it has not taken place until a certain time point. This type of data requires special statistical methods, whether the goal is to investigate one type of event, a sequence of events, or more complicated models. 


In the Survival Analysis group, we are engaged in research both with departments within the LUMC and with groups outside LUMC. Moreover, we develop new methodology in which we address questions that arise from our clinical collaborations.

Our Team members
  • Prof. dr. Hein Putter, Head of the Survival Analysis group
  • Prof. dr. Jacco Wallinga, Professor of Mathematical Modeling of Infectious Diseases
  • Prof. dr. Marta Fiocco, Professor of Applied Mathematics, in particular Medical Statistics
  • Dr. Liesbeth de Wreede, Assistant Professor
  • Dr. Nan van Geloven, Assistant Professor