126 citations · 168 across the 12 of their papers we have counts for
13 papers
Integrating relative survival in multi-state models -- a non-parametric approach
D. Manevski, H. Putter, M. Pohar Perme +3
Multi-state models provide an extension of the usual survival/event-history analysis setting. In the medical domain, multi-state models give the possibility of further investigatin…
Benchmarking survival outcomes: A funnel plot for survival data
Hein Putter, Dirk-Jan Eikema, Liesbeth C. de Wreede +5
Benchmarking is commonly used in many healthcare settings to monitor clinical performance, with the aim of increasing cost-effectiveness and safe care of patients. The funnel plot…
Landmarking 2.0: Bridging the gap between joint models and landmarking
Hein Putter, Hans C. van Houwelingen
The problem of dynamic prediction with time-dependent covariates, given by biomarkers, repeatedly measured over time, has received much attention over the last decades. Two contras…
Incorporating delayed entry into the joint frailty model for recurrent events and a terminal event
Marie Böhnstedt, Jutta Gampe, Monique A. A. Caljouw +1
In studies of recurrent events, joint modeling approaches are often needed to allow for potential dependent censoring by a terminal event such as death. Joint frailty models for re…
A hybrid landmark Aalen-Johansen estimator for transition probabilities in partially non-Markov multi-state models
N. Maltzahn, R. Hoff, O. O. Aalen +3
Multi-state models are increasingly being used to model complex epidemiological and clinical outcomes over time. It is common to assume that the models are Markov, but the assumpti…
Prediction meets causal inference: the role of treatment in clinical prediction models
Nan van Geloven, Sonja Swanson, Chava Ramspek +7
In this paper we study approaches for dealing with treatment when developing a clinical prediction model. Analogous to the estimand framework recently proposed by the European Medi…