A local likelihood proportional hazards model for interval censored data

Stat Med. 2002 Jan 30;21(2):263-75. doi: 10.1002/sim.993.

Abstract

We discuss the use of local likelihood methods to fit proportional hazards regression models to right and interval censored data. The assumed model allows for an arbitrary, smoothed baseline hazard on which a vector of covariates operates in a proportional manner, and thus produces an interpretable baseline hazard function along with estimates of global covariate effects. For estimation, we extend the modified EM algorithm suggested by Betensky, Lindsey, Ryan and Wand. We illustrate the method with data on times to deterioration of breast cosmeses and HIV-1 infection rates among haemophiliacs.

Publication types

  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Algorithms
  • Breast Neoplasms / drug therapy
  • Breast Neoplasms / radiotherapy
  • Factor VII / administration & dosage
  • Female
  • HIV Infections / etiology
  • HIV Infections / transmission
  • Hemophilia A / virology
  • Humans
  • Likelihood Functions*
  • Numerical Analysis, Computer-Assisted*
  • Proportional Hazards Models*
  • Transfusion Reaction

Substances

  • Factor VII