Model Selection and Semiparametric Inference for Bivariate Failure-Time Data Academic Article uri icon

Overview

MeSH Major

  • Antibodies, Monoclonal
  • Antineoplastic Agents
  • Protein Kinase Inhibitors
  • Receptor, Epidermal Growth Factor
  • Skin Neoplasms

abstract

  • We propose model selection procedures for bivariate survival models for censored data generated by the Archimedean copula family. In route to constructing the selection methodology, we develop estimates of some time-dependent association measures, including estimates of the local and global Kendall's tau, local odds ratio, and other measures defined throughout the literature. We propose a goodness-of-fit-based model selection methodology as well as a graphical approach. We show that the proposed methods have desirable asymptotic properties and perform well in finite samples. © 2000 Taylor and Francis Group, LLC.

publication date

  • March 2000

Research

keywords

  • Academic Article

Identity

Digital Object Identifier (DOI)

  • 10.1080/01621459.2000.10473899

Additional Document Info

start page

  • 62

end page

  • 72

volume

  • 95

number

  • 449