Avtor/Urednik		Manevski, Damjan; Putter, Hein; Pohar Perme, Maja; Bonneville, Edouard F; Schetelig, Johannes; Wreede, Liesbeth C. de
Naslov		Integrating relative survival in multi-state models - a non-parametric approach
Tip		članek
Leto izdaje		2022
Obseg		str. str.
ISSN		0962-2802 - Statistical methods in medical research
Jezik		eng
Abstrakt		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 investigating intermediate events such as relapse and remission. In this work, a further extension is proposed using relative survival, where mortality due to population causes (i.e. non-disease-related mortality) is evaluated. The objective is to split all mortality in disease and non-disease-related mortality, with and without intermediate events, in datasets where cause of death is not recorded or is uncertain. To this end, population mortality tables are integrated into the estimation process, while using the basic relative survival idea that the overall mortality hazard can be written as a sum of a population and an excess part. Hence, we propose an upgraded non-parametric approach to estimation, where population mortality is taken into account. Precise definitions and suitable estimators are given for both the transition hazards and probabilities. Variance estimating techniques and confidence intervals are introduced and the behaviour of the new method is investigated through simulations. The newly developed methodology is illustrated by the analysis of a cohort of patients followed after an allogeneic hematopoietic stem cell transplantation. The work has been implemented in the R package mstate.
Proste vsebinske oznake		model več stanj relativno preživetje tabele umrljivosti multi-state model relative survival mortality tables