15 citations · 16 across the 5 of their papers we have counts for
5 papers
Individualized Dynamic Prediction of Survival under Time-Varying Treatment Strategies
Grigorios Papageorgiou, Mostafa M. Mokhles, Johanna J. M. Takkenberg +1
Often in follow-up studies intermediate events occur in some patients, such as reinterventions or adverse events. These intermediate events directly affect the shapes of their long…
Improved Dynamic Predictions from Joint Models of Longitudinal and Survival Data with Time-Varying Effects using P-splines
Eleni-Rosalina Andrinopoulou, Paul H. C. Eilers, Johanna J. M. Takkenberg +1
In the field of cardio-thoracic surgery, valve function is monitored over time after surgery. The motivation for our research comes from a study which includes patients who receive…
Personalized Screening Intervals for Biomarkers using Joint Models for Longitudinal and Survival Data
Dimitris Rizopoulos, Jeremy M. G. Taylor, Joost van Rosmalen +2
Screening and surveillance are routinely used in medicine for early detection of disease and close monitoring of progression. Biomarkers are one of the primarily tools used for the…
Dynamic Predictions with Time-Dependent Covariates in Survival Analysis using Joint Modeling and Landmarking
Dimitris Rizopoulos, Magdalena Murawska, Eleni-Rosalina Andrinopoulou +3
A key question in clinical practice is accurate prediction of patient prognosis. To this end, nowadays, physicians have at their disposal a variety of tests and biomarkers to aid t…
Combining Dynamic Predictions from Joint Models for Longitudinal and Time-to-Event Data using Bayesian Model Averaging
Dimitris Rizopoulos, Laura A. Hatfield, Bradley P. Carlin +1
The joint modeling of longitudinal and time-to-event data is an active area of statistics research that has received a lot of attention in the recent years. More recently, a new an…