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