Nonparametric kernel estimation in counting processes with explanatory variables Academic Article uri icon

Overview

MeSH Major

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

abstract

  • SUMMARY: Cox's proportional hazards model assumes that the duration hazard rate factors into a product of a baseline hazard rate and a nonegative function of explanatory variables. An estimate of the baseline hazard rate, hence also of overall hazard rate, is proposed, based on a smoothing procedure using a kernel function. It is shown that the proposed estimator is uniformly consistent and converges weakly to a Gaussian process. Bandwidth selection issues are also discussed. © 1994 Biometrika Trust.

publication date

  • December 1994

Research

keywords

  • Academic Article

Identity

Digital Object Identifier (DOI)

  • 10.1093/biomet/81.4.795

Additional Document Info

start page

  • 795

end page

  • 801

volume

  • 81

number

  • 4