Back to Search Start Over

Nonparametric inference for panel count data with competing risks.

Authors :
Sreedevi, E. P.
Sankaran, P. G.
Source :
Journal of Applied Statistics; Dec 2021, Vol. 48 Issue 16, p3102-3115, 14p, 3 Charts, 1 Graph
Publication Year :
2021

Abstract

In survival and reliability studies, panel count data arise when we investigate a recurrent event process and each study subject is observed only at discrete time points. If recurrent events of several types are possible, we obtain panel count data with competing risks. Such data arise frequently from transversal studies on recurrent events in demography, epidemiology and reliability experiments where the individuals cannot be observed continuously. In the present paper, we propose an isotonic regression estimator for the cause specific mean function of the underlying recurrent event process of a competing risks panel count data. Further, a nonparametric test is proposed to compare the cause specific mean functions of the panel count competing risks data. Asymptotic properties of the proposed estimator and test statistic are studied. A simulation study is conducted to assess the finite sample behaviour of the proposed estimator and test statistic. Finally, the procedures developed are applied to a real data arising from skin cancer chemo prevention trial. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
02664763
Volume :
48
Issue :
16
Database :
Complementary Index
Journal :
Journal of Applied Statistics
Publication Type :
Academic Journal
Accession number :
153688071
Full Text :
https://doi.org/10.1080/02664763.2020.1795816