Multistate Models for the Analysis of Life History Data provides the first comprehensive
treatment of multistate modeling and analysis, including parametric, nonparametric and …

By far the most popular model to obtain survival predictions for individual patients is the Cox
model. The Cox model does not make any assumptions on the underlying hazard, but it …

Simple Summary BRCAPRO is a widely used breast cancer risk prediction model based on
family history. A major limitation of this model is that it does not consider non-genetic risk …

This paper presents a semi-parametric modeling technique for estimating the survival
function from a set of right-censored time-to-event data. Our method, named pseudo-value …

This paper is the written version of the President's invited lecture speaker at the International
Society for Clinical Biostatistics conference in Munich in 2013. The paper takes the stand of …

In recent years there have been a series of advances in the field of dynamic prediction.
Among those is the development of methods for dynamic prediction of the cumulative …

Some of the most exciting contests in US professional basketball are the win-or-gohome,
game seven's in the playoffs. The National Basketball Association has instituted a play-in …

One of the objectives of personalized medicine is to take treatment decisions based on a
biomarker measurement. Therefore, it is often interesting to evaluate how well a biomarker …

In medical research and many other fields it is often of interest to study the time until an
event occurs and to identify which factors are associated with the risk of experiencing the …

Les indicateurs épidémiologiques de la démence tels que l'espérance de vie sans démence
pour un âge donné ou le risque absolu sont des quantités utiles en santé publique …