Beitrag in einem Sammelband

Competing risks models with two time scales

Carollo, A., Putter, H., Eilers, P. H. C., Gampe, J.

In: Torelli, N., Bellio, R., Muggeo, V. (Eds.): Proceedings of the 36th International Workshop on Statistical Modelling (IWSM), Trieste, Italy, 18–22 July 2022, 123–128
Trieste, EUT Edizioni Università di Trieste (2022)

eISBN 978-88-5511-309-0

abstract IWSM2022 Carollo final

Open Access

Abstract

Competing risks models can involve more than one time scale. We propose a model for competing events in which the cause-specific hazards vary smoothly over two times scales. We estimate these two-dimensional hazard functions by P-splines, exploiting the equivalence between hazard smoothing and Poisson regression. As the data are arranged on a grid we can make use of genalized linear array models (GLAM) for efficient computations. We present an application to the study of transitions out of non-marital cohabitation in Germany.