A bivariate frailty model with a cure fraction for modeling familial correlations in diseases.

Published

Journal Article

We suggest a cure-mixture model to analyze bivariate time-to-event data, as motivated by the article of Chatterjee and Shih (2001, Biometrics 57, 779-786), but with a simpler estimation procedure and the correlated gamma-frailty model instead of the shared gamma-frailty model. This approach allows us to deal with left-truncated and right-censored lifetime data, and accounts for heterogeneity, as well as for an insusceptible (cure) fraction in the study population. We perform a simulation study to evaluate the properties of the estimates in the proposed model and apply it to breast cancer incidence data for 5857 Swedish female monozygotic and dizygotic twin pairs from the so-called old cohort of the Swedish Twin Registry. This model is used to estimate the size of the susceptible fraction and the correlation between the frailties of the twin partners. Possible extensions, advantages, and limitations of the proposed method are discussed.

Full Text

Duke Authors

Cited Authors

  • Wienke, A; Lichtenstein, P; Yashin, AI

Published Date

  • December 2003

Published In

Volume / Issue

  • 59 / 4

Start / End Page

  • 1178 - 1183

PubMed ID

  • 14969499

Pubmed Central ID

  • 14969499

Electronic International Standard Serial Number (EISSN)

  • 1541-0420

International Standard Serial Number (ISSN)

  • 0006-341X

Digital Object Identifier (DOI)

  • 10.1111/j.0006-341x.2003.00135.x

Language

  • eng