Multi-state models are finding increased application in medical research. They allow a detailed view of the disease or recovery process of a patient and they can be used to obtain prediction probabilities of future events, after a given event history.
The offered position will involve developing novel statistical methods for the analysis of competing risks and multi-state models. Particular big emphasis will be given to new methodologies needed for modelling disease progression in the Intensive Care Unit (ICU) setting. Among the new methods to be explored: causal inference, correction for time dependent confounding, prediction for non Markov models.
The offered position is a shared position between the Department of Mathematics of Utrecht University (50%) and the University Medical Center of Utrecht (50%). Hence, the student will work along with researchers from the Julius Center for Health Sciences and Primary Care (UMCU) and with physicians of the ICU, in order to build up models of medical relevance.
