2 citations · 3 across the 4 of their papers we have counts for
4 papers · 1 filter
On the Addams family of discrete frailty distributions for modelling multivariate case I interval-censored data
Maximilian Bardo, Niel Hens, Steffen Unkel
Random effect models for time-to-event data, also known as frailty models, provide a conceptually appealing way of quantifying association between survival times and of representin…
A neutral comparison of statistical methods for time-to-event analyses under non-proportional hazards
Florian Klinglmüller, Tobias Fellinger, Franz König +10
While well-established methods for time-to-event data are available when the proportional hazards assumption holds, there is no consensus on the best inferential approach under non…
Methods for non-proportional hazards in clinical trials: A systematic review
Maximilian Bardo, Cynthia Huber, Norbert Benda +13
For the analysis of time-to-event data, frequently used methods such as the log-rank test or the Cox proportional hazards model are based on the proportional hazards assumption, wh…
The shape of the relative frailty variance induced by discrete random effect distributions in univariate and multivariate survival models
Maximilian Bardo, Steffen Unkel
In statistical models for the analysis of time-to-event data, individual heterogeneity is usually accounted for by means of one or more random effects, also known as frailties. In…