A local likelihood proportional hazards model for interval censored data

Rebecca Betensky, Jane C. Lindsey, Louise M. Ryan, M. P. Wand

Research output: Contribution to journalArticle

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.

Original languageEnglish (US)
Pages (from-to)263-275
Number of pages13
JournalStatistics in Medicine
Volume21
Issue number2
DOIs
StatePublished - Jan 30 2002

Fingerprint

Local Likelihood
Interval-censored Data
Proportional Hazards Model
Proportional Hazards Models
Covariates
Baseline
Proportional Hazards Regression
Hazard Models
Right-censored Data
Hazard Function
Likelihood Methods
EM Algorithm
Deterioration
Hazard
HIV Infections
Infection
HIV-1
Regression Model
Breast
Directly proportional

Keywords

  • Interval censored data
  • Local likelihood methods
  • Proportional hazards
  • Regression model

ASJC Scopus subject areas

  • Epidemiology
  • Statistics and Probability

Cite this

A local likelihood proportional hazards model for interval censored data. / Betensky, Rebecca; Lindsey, Jane C.; Ryan, Louise M.; Wand, M. P.

In: Statistics in Medicine, Vol. 21, No. 2, 30.01.2002, p. 263-275.

Research output: Contribution to journalArticle

Betensky, Rebecca ; Lindsey, Jane C. ; Ryan, Louise M. ; Wand, M. P. / A local likelihood proportional hazards model for interval censored data. In: Statistics in Medicine. 2002 ; Vol. 21, No. 2. pp. 263-275.
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