Investigating Time Dependence in Cox's Proportional Hazards Model
A. N. Pettitt and
I. Bin Daud
Journal of the Royal Statistical Society Series C, 1990, vol. 39, issue 3, 313-329
Abstract:
We consider the investigation of time dependence in Cox's proportional hazards model using the residuals of Schoenfeld. For data analysis and model development we consider smoothing these residuals to consider time‐dependent effects. A model which considers time‐dependent modulation of the linear predictor is introduced and suggested for use. The techniques are illustrated using simulated data and data concerning the failure response, measured as distance travelled, of turbochargers on railway carriages. For the latter case, a ‘time‘‐dependent proportional hazards model of this type is suggested by smoothing the residuals and it is shown to give an improved fit to the data.
Date: 1990
References: Add references at CitEc
Citations: View citations in EconPapers (5)
Downloads: (external link)
https://doi.org/10.2307/2347382
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssc:v:39:y:1990:i:3:p:313-329
Ordering information: This journal article can be ordered from
http://ordering.onli ... 1111/(ISSN)1467-9876
Access Statistics for this article
Journal of the Royal Statistical Society Series C is currently edited by R. Chandler and P. W. F. Smith
More articles in Journal of the Royal Statistical Society Series C from Royal Statistical Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().