11 citations · 21 across the 6 of their papers we have counts for
6 papers
TwoTimeScales: An R-package for Smoothing Hazards with Two Time Scales
Angela Carollo, Paul H. C. Eilers, Hein Putter +1
Background: Time-to-event data with multiple time scales are observed in many epidemiological and clinical studies. While models that allow for simultaneous consideration of multip…
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…
Is there a cap on longevity? A statistical review
Léo R. Belzile, Anthony C. Davison, Jutta Gampe +2
There is sustained and widespread interest in understanding the limit, if any, to the human lifespan. Apart from its intrinsic and biological interest, changes in survival in old a…
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…
Shifting attention to old age: Detecting mortality deceleration using focused model selection
Marie Böhnstedt, Hein Putter, Nadine Ouellette +2
The decrease in the increase in death rates at old ages is a phenomenon that has repeatedly been discussed in demographic research. While mortality deceleration can be explained in…