11 citations · 20 across the 7 of their papers we have counts for
3 papers · 1 filter
Competing risks models with two time scales
Angela Carollo, Hein Putter, Paul H. C. Eilers +1
Competing risks models can involve more than one time scale. A relevant example is the study of mortality after a cancer diagnosis, where time since diagnosis but also age may join…
Smooth hazards with multiple time scales
Angela Carollo, Paul H. C. Eilers, Hein Putter +1
Hazard models are the most commonly used tool to analyse time-to-event data. If more than one time scale is relevant for the event under study, models are required that can incorpo…
Individual frailty excess hazard models in cancer epidemiology
F. J. Rubio, H. Putter, A. Belot
Unobserved individual heterogeneity is a common challenge in population cancer survival studies. This heterogeneity is usually associated with the combination of model misspecifica…