Khmaladze-type graphical evaluation of the proportional hazards assumption

John O'Quigley

Biometrika, 2003, vol. 90, issue 3, 577-584

Abstract: Khmaladze-type goodness-of-fit tests are based on transforming an appropriate empirical process to one with a known large-sample distribution. Using Donsker's theorem, together with a theorem for proportional hazards generalising a theorem of Xu & O'Quigley (1999), we indicate how to construct a Khmaladze-type graphical test for evaluating the proportional hazards assumption. An illustration is given in which a partially proportional hazards model can be seen to provide a noticeably improved fit over a fully proportional hazards model. Copyright Biometrika Trust 2003, Oxford University Press.

Date: 2003
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

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:oup:biomet:v:90:y:2003:i:3:p:577-584

Ordering information: This journal article can be ordered from
https://academic.oup.com/journals

Access Statistics for this article

Biometrika is currently edited by Paul Fearnhead

More articles in Biometrika from Biometrika Trust Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK.
Bibliographic data for series maintained by Oxford University Press ().