Restricted estimation of the cumulative incidence functions corresponding to competing risks

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Authors
El Barmi, Hammou
Mukerjee, Hari
Advisors
Issue Date
2006
Type
Article
Keywords
Competing risks , Cumulative incidence functions , Estimation , Hypothesis test , Fc-sample problems , Order restriction , Weak convergence
Research Projects
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Citation
Barmi, H. E. and H. Mukerjee (2006). "Restricted Estimation of the Cumulative Incidence Functions Corresponding to Competing Risks." Lecture Notes-Monograph Series 49: Optimality: The Second Erich L. Lehmann Symposium , 241-252.
Abstract

In the competing risks problem, an important role is played by the cumulative incidence function (CIF), whose value at time t is the probability of failure by time t from a particular type of failure in the presence of other risks. In some cases there are reasons to believe that the CIFs due to various types of failure are linearly ordered. El Barmi et al. [3] studied the estimation and inference procedures under this ordering when there are only two causes of failure. In this paper we extend the results to the case of k CIFs, where k > 3. Although the analyses are more challenging, we show that most of the results in the 2-sample case carry over to this fc-sample case.

Table of Contents
Description
Open access
Publisher
Institute of Mathematical Statistics
Journal
Book Title
Series
Lecture Notes-Monograph Series;v.49
PubMed ID
DOI
ISSN
0749-2170
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