Testing Goodness of Fit for Proportional Hazards Model with Censored Observations

Publication Description
A numerical omnibus test of fit for the two-sample proportional hazards model is proposed for randomly censored observations. The test is derived from Cox's partial likelihood and does not need a dummy time-dependent covariate or any partition of the time-axis. Consistency of the test is established. Examples are provided for illustration.

Primary Author
Wei,L. J.

Volume
79

Issue
387

Start Page
649

Other Pages
652

Publisher
Taylor & Francis Group

URL
http://www.tandfonline.com/doi/abs/10.1080/01621459.1984.10478092



Reference Type
Journal Article

Periodical Full
Journal of the American Statistical Association

Publication Year
1984

Publication Date
Sep 1,

ISSN/ISBN
0162-1459

Document Object Index
10.1080/01621459.1984.10478092