A nonparametric analysis of discrete time competing risks data : a comparison of the cause-specific-hazards approach and the vertical approach

Bonginkosi Duncan Ndlovu, Sileshi Fanta Melesse, Temesgen Zewotir

Nicolaie et al. (2010) have advanced a vertical model as the latest continuous time competing risks model. The main objective of this article is to re-cast this model as a nonparametric model for analysis of discrete time competing risks data. Davis and Lawrance (1989) have advanced a cause-specific-hazard driven method for summarizing discrete time data nonparametrically. The secondary objective of this article is to compare the proposed model to this model. We pay particular attention to the estimates for the cause-specific-hazards and the cumulative incidence functions as well as their respective standard errors.

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Year of publication:	2023
Authors:	Ndlovu, Bonginkosi Duncan ; Melesse, Sileshi Fanta ; Zewotir, Temesgen
Published in:	Statistics in transition : an international journal of the Polish Statistical Association and Statistics Poland. - Warszawa : GUS, ISSN 2450-0291, ZDB-ID 2235641-1. - Vol. 24.2023, 3, p. 61-76
Subject:	vertical model \| total hazards \| relative hazards \| cause-specific-hazards \| cumula tive incidence functions \| Theorie \| Theory \| Vertikale Integration \| Vertical integration \| Nichtparametrisches Verfahren \| Nonparametric statistics \| Risiko \| Risk

Type of publication:	Article
Type of publication (narrower categories):	Aufsatz in Zeitschrift ; Article in journal
Language:	English
Other identifiers:	10.59170/stattrans-2023-036 [DOI]
Source:	ECONIS - Online Catalogue of the ZBW

Persistent link: https://ebvufind01.dmz1.zbw.eu/10015052171