Predavanje: MULTI-STATE MODELS: AN OVERVIEW PDF natisni

Naslednje predavanje v okviru biostatističnega centra bo v ponedeljek, 16.6.20068, ob 14. uri na IBMI. Predaval bo prof.dr. Per Kragh Andersen z Univerze v Kopenhagnu. Tema predavanja bo nedvomno zanimiva za vse, ki jih zanimajo prehodi med stanji (zgodovina zaposlitev, poroke-ločitve, vojna-mir, stanja bolezni ...) in časi med temi prehodi.

MULTI-STATE MODELS: AN OVERVIEW.

Per Kragh Andersen, Dept. Biostatistics, Univ. Copenhagen, Denmark.

Multi-state models are typically used when subjects, e.g. patients, are followed over time and a number of events may be observed for each subject. In such studies, the occurrence of an event is modelled as a transition between two states in the model. Bone marrow transplantation is one area where multi-state models have been used extensively. Here, the events of interest both include ultimate events like death and relapse and transient events like graft versus host disease. We will give a review of such methods with emphasis on regression models for both transition intensities and transition- and state occupation probabilities. Both semi-parametric models, like the Cox regression model, and parametric models based on piecewise constant intensities will be discussed. Illustrative examples will be taken from studies in bone marrow transplantation.

 

Svet statistike