A parametric model for long-term follow-up data from phase III breast cancer clinical trials.

Published

Journal Article

We propose a parametric version of a univariate gamma frailty model. The proposed model is shown to be flexible enough to model long-term follow-up survival data from breast cancer clinical trials when the treatment effect diminishes as time progresses, a case for which neither the proportional hazards nor proportional odds assumptions are satisfied. The observed information matrix is computed to evaluate the variances of parameter estimates. A simple parametric test statistic to test proportional odds assumption is also constructed. The model is applied to a data set from a phase III clinical trial on breast cancer.

Full Text

Duke Authors

Cited Authors

  • Jeong, J-H; Jung, S-H; Wieand, S

Published Date

  • February 15, 2003

Published In

Volume / Issue

  • 22 / 3

Start / End Page

  • 339 - 352

PubMed ID

  • 12529867

Pubmed Central ID

  • 12529867

International Standard Serial Number (ISSN)

  • 0277-6715

Digital Object Identifier (DOI)

  • 10.1002/sim.1349

Language

  • eng

Conference Location

  • England