… In this paper, we develop a dynamic prediction model for competing risks aimed at predicting
events of interest at later time points based on the complete history of the patient up to …

… of dynamic prediction in the context of competing risks as an … The advantages of landmarking
for dynamic prediction are that … These advantages are also valuable in competing risks …

… In this work we presented dynamic predictions for a competing risk setting using multiple
longitudinal outcomes. Specifically, we performed different functional forms to relate the …

… the last available measurements) in order to issue dynamically updated survival predictions
for one or multiple competing risk(s). Dynamic-DeepHit learns the time-to-event distributions …

… In this article, we presented an efficient approach to define dynamic prediction models for
discrete-time competing risks data. We first extended methodology for objective Bayesian …

… 33] to data with competing risks, we investigate the prediction performance of the Fine-Gray
PSH model with additional administrative censoring at the prediction horizon time thor, when …

… ) in the setting of dynamic prediction with competing risks. The proposed … of dynamic prediction,
(Schoop Graf, and Schumacher, 2008; Parast, Cheng, and Cai, 2012) and competing risk …

… In section 2, we introduce the dynamic prediction model for competing risk data. In section
3… of predictive accuracy measures within the dynamic competing risk context. In section 5, we …

… The thesis concerns regression models related to the competing risks setting in survival …
In the first case, we discuss the competing risks model and we focus on regression for the …

… at each stage, which allows for dynamic prediction of preeclampsia. The competing risk
model can be used for precision medicine and risk stratification at different stages of pregnancy. …