Integrating relative survival in multi-state models—a non-parametric approach

Manevski, Damjan (avtor), Putter, Hein (avtor), Pohar Perme, Maja (avtor), Bonneville, Edouard F (avtor), Schetelig, Johannes (avtor), Wreede, Liesbeth C. de (avtor)

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.

• Jezik: Angleški jezik
• Ključne besede: multi-state model, relative survival, mortality tables, competing risks, mstate
• Vrsta gradiva: Članek v reviji
• Tipologija: 1.01 - Izvirni znanstveni članek
• Organizacija: MF - Medicinska fakulteta
• Status publikacije: Objavljeno
• Različica publikacije: Objavljena publikacija
• Leto izida: 2022
• Št. strani: Str. 997-1012
• Številčenje: Vol. 31, iss. 6
• PID: 20.500.12556/RUL-144180
• UDK: 311
• ISSN pri članku: 0962-2802
• DOI: 10.1177/09622802221074156
• COBISS.SI-ID: 100836867
• Datum objave v RUL: 02.02.2023

Gradivo je del revije

• Naslov: Statistical methods in medical research
• Skrajšan naslov: Stat. methods med. res.
• Založnik: SAGE
• ISSN: 0962-2802
• COBISS.SI-ID: 806420

Licence

• Licenca: CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
• Povezava: http://creativecommons.org/licenses/by/4.0/deed.sl
• Opis: To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

• Jezik: Slovenski jezik
• Ključne besede: model več stanj, relativno preživetje, tabele umrljivosti