Title: Analysis of survival data with multiple events: New contributions and practical recommendations
Authors: Luis Machado - University of Minho (Portugal) [presenting]
Abstract: In many medical studies, patients may experience several events across a follow-up period. Analysis in such studies is often performed using multi-state models. These models can be successfully used for describing complex event history data, for example, describing stages in the disease progression of a patient. In these models one important goal is the modeling of transition rates but biomedical researchers are also interested in reporting interpretable results in a simple and summarized manner. These include estimates of predictive probabilities, such as the transition probabilities, occupation probabilities, cumulative incidence functions, prevalence and the sojourn time distributions. We aim to introduce feasible estimation methods for some of these quantities while providing some practical recommendations. The proposed methods are illustrated using real data. Software in the form of an R package developed by the authors will be introduced.