Smoothing spline-based score tests for proportional hazards models.

Published

Journal Article

We propose "score-type" tests for the proportional hazards assumption and for covariate effects in the Cox model using the natural smoothing spline representation of the corresponding nonparametric functions of time or covariate. The tests are based on the penalized partial likelihood and are derived by viewing the inverse of the smoothing parameter as a variance component and testing an equivalent null hypothesis that the variance component is zero. We show that the tests have a size close to the nominal level and good power against general alternatives, and we apply them to data from a cancer clinical trial.

Full Text

Duke Authors

Cited Authors

  • Lin, J; Zhang, D; Davidian, M

Published Date

  • September 2006

Published In

Volume / Issue

  • 62 / 3

Start / End Page

  • 803 - 812

PubMed ID

  • 16984323

Pubmed Central ID

  • 16984323

International Standard Serial Number (ISSN)

  • 0006-341X

Digital Object Identifier (DOI)

  • 10.1111/j.1541-0420.2005.00521.x

Language

  • eng

Conference Location

  • United States