Non-parametric test of recurrent cumulative incidence functions for competing risks models

M. S. Sisuma and P. G. Sankaran
Additional contact information
M. S. Sisuma: Cochin University of Science and Technology
P. G. Sankaran: Cochin University of Science and Technology

METRON, 2022, vol. 80, issue 3, No 3, 342 pages

Abstract: Abstract Recurrent competing risks data are common in survival studies. In such contexts the effects of competing risks on lifetime outcomes are important problem of study. In this work we introduce recurrent cumulative incidence function and then propose a non-parametric test for comparing recurrent cumulative incidence functions. Asymptotic distribution of the test statistic is derived. A simulation study is carried out to assess the performance of the proposed test statistic. The proposed method is applied to an auto-mobile warranty data.

Keywords: Recurrent event; Competing risks; Recurrent survival function; Cause specific hazard functions; Cumulative incidence functions (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1007/s40300-022-00228-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:metron:v:80:y:2022:i:3:d:10.1007_s40300-022-00228-x

Ordering information: This journal article can be ordered from
http://www.springer.com/economics/journal/40300

DOI: 10.1007/s40300-022-00228-x

Access Statistics for this article

METRON is currently edited by Marco Alfo'

More articles in METRON from Springer, Sapienza Università di Roma
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().