Skip Navigation

Biometrika 1978 65(1):167-179; doi:10.1093/biomet/65.1.167
© 1978 by Biometrika Trust
This Article
Right arrow Full Text (PDF)
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by PRENTICE, R. L.
Right arrow Search for Related Content
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Linear rank tests with right censored data

R. L. PRENTICE

Fred Hutchinson Cancer Research Center Seattle, Washington and Department of Biostatistics, University of Washington

Linear rank statistics are developed for tests on regression coefficients with censored data. These statistics arise as score statistics based on the marginal probability of a generalized rank vector. The observed Fisher information provides a variance estimator generally, while in certain special cases a permutation approach to variance estimation is also possible. The Wilcoxon test is generalized to regression tests with censored data. The log rank test (Cox, 1972; Peto & Peto, 1972) is also produced as a special case.

Key Words: Approximate score • Censored data • Linear regression • Log rank test • Rank test • Wilcoxon test


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?


This article has been cited by other articles:


Home page
BiostatisticsHome page
B. A. Johnson
Rank-based estimation in the {ell}1-regularized partly linear model for censored outcomes with application to integrated analyses of clinical predictors and gene expression data
Biostat., October 1, 2009; 10(4): 659 - 666.
[Abstract] [Full Text] [PDF]


Home page
BiometrikaHome page
H. Li and G. Yin
Generalized method of moments estimation for linear regression with clustered failure time data
Biometrika, June 1, 2009; 96(2): 293 - 306.
[Abstract] [PDF]


Home page
BiometrikaHome page
E. F. Abd-Elfattah and R. W. Butler
The weighted log-rank class of permutation tests: P-values and confidence intervals using saddlepoint methods
Biometrika, August 5, 2007; (2007) asm060v1.
[Abstract] [PDF]


Home page
Stat Methods Med ResHome page
E. Lesaffre, A. Komarek, and D. Declerck
An overview of methods for interval-censored data with an emphasis on applications in dentistry
Statistical Methods in Medical Research, December 1, 2005; 14(6): 539 - 552.
[Abstract] [PDF]


Home page
J Am Coll CardiolHome page
D. S. Sheps, R. P. McMahon, K. C. Light, W. Maixner, C. J. Pepine, J. D. Cohen, A. D. Goldberg, R. Bonsall, R. Carney, P. H. Stone, et al.
Low hot pain threshold predicts shorter time to exercise-induced angina: results from the psychophysiological investigations of myocardial ischemia (PIMI) study
J. Am. Coll. Cardiol., June 1, 1999; 33(7): 1855 - 1862.
[Abstract] [Full Text] [PDF]


Home page
NEJMHome page
P. A. Cassileth, D. P. Harrington, F. R. Appelbaum, H. M. Lazarus, J. M. Rowe, E. Paietta, C. Willman, D. D. Hurd, J. M. Bennett, K. G. Blume, et al.
Chemotherapy Compared with Autologous or Allogeneic Bone Marrow Transplantation in the Management of Acute Myeloid Leukemia in First Remission
N. Engl. J. Med., December 3, 1998; 339(23): 1649 - 1656.
[Abstract] [Full Text] [PDF]


Home page
Stat Methods Med ResHome page
M. R Segal
Extending the elements of tree-structured regression
Statistical Methods in Medical Research, September 1, 1995; 4(3): 219 - 236.
[Abstract] [PDF]



Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.