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Nonparametric inference under competing risks and selection-biased sampling

Authors
Journal
Journal of Multivariate Analysis
0047-259X
Publisher
Elsevier
Publication Date
Volume
99
Issue
4
Identifiers
DOI: 10.1016/j.jmva.2007.02.001
Keywords
  • Competing Risks
  • Selection Bias
  • Right-Censored Data
  • Cumulative Incidence Function
  • Nonparametric Inference
  • Weak Convergence Of Processes
  • Skorohod Space
  • Martingale
  • Counting Process
Disciplines
  • Logic

Abstract

Abstract The aim of this paper is to carry out statistical inference in a competing risks setup when only selection-biased observation of the data of interest is available. We introduce estimators of the cumulative incidence functions and study their joint large sample behavior.

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