Analysis of childhood brain tumour data in New York City usig frailty models

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

This paper uses frailty models to analyse overall survival and progression-free survival times for children with a brain tumour. We are interested in how surgery resection affects survival times. We are also interested in how strong a child's progression-free survival correlates with his/her overall survival and if the association differs with age. Traditionally the frailty is modelled parametrically and a maximum likelihood approach is used to estimate the parameters of interest. However, the result is sensitive to the misspecification of the frailty distribution and the currently developed algorithms for the maximum likelihood approach do not allow the association parameter to depend on covariates. Xue formulates a Poisson regression model and applies an estimating equation approach to obtain a consistent estimate of the covariate effect on survival. This paper extends that approach to obtain consistent and efficient estimates of the association parameter as well as the covariate effect and to allow the association parameter to depend on the covariates. The approach does not require the specification of the frailty distribution. The performance of the method is evaluated through simulation studies. We apply this method to a childhood brain tumour data set in New York City.

Original languageEnglish (US)
Pages (from-to)3459-3473
Number of pages15
JournalStatistics in Medicine
Volume20
Issue number22
DOIs
StatePublished - Nov 30 2001
Externally publishedYes

Fingerprint

Brain Tumor
Frailty Model
Brain Neoplasms
Frailty
Disease-Free Survival
Covariates
Survival Time
Survival Analysis
Progression
Maximum Likelihood
Poisson Regression
Consistent Estimates
Misspecification
Estimating Equation
Poisson Model
Estimate
Correlate
Surgery
Regression Model
Simulation Study

ASJC Scopus subject areas

  • Epidemiology

Cite this

Analysis of childhood brain tumour data in New York City usig frailty models. / Xue, Xiaonan (Nan).

In: Statistics in Medicine, Vol. 20, No. 22, 30.11.2001, p. 3459-3473.

Research output: Contribution to journalArticle

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