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

• Authors: Bonginkosi Duncan Ndlovu , Sileshi Fanta Melesse , Temesgen Zewotir

Abstracts

EN

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.

Keywords

EN

vertical model; total hazards; relative hazards; cause-specific-hazards; cumula tive incidence functions

• Publisher: Główny Urząd Statystyczny
• Journal: Statistics in Transition new series
• Year: 2023
• Volume: 24
• Issue: 3
• Pages: 61-76

Dates

published

2023

Contributors

author

Bonginkosi Duncan Ndlovu

• Department of Statistics, Durban University of Technology

author

Sileshi Fanta Melesse

• Department of Statistics, University of KwaZulu-Natal

• https://orcid.org/0000000314388571

author

Temesgen Zewotir

• Department of Statistics, University of KwaZulu-Natal

References

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• Ndlovu, B. D., Melesse, S., and Zewotir, T., (2020). A nonparametric vertical model: Anapplication to discrete time competing risks data with missing failure causes. South African Journal of Statistics, 6, pp. 534-545.
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Identifiers

Biblioteka Nauki

18105137