Skip Navigation

Biometrika 1990 77(4):853-864; doi:10.1093/biomet/77.4.853
© 1990 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 ZUCKER, D. M.
Right arrow Articles by LAKATOS, E.
Right arrow Search for Related Content
Social Bookmarking
Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

Weighted log rank type statistics for comparing survival curves when there is a time lag in the effectiveness of treatment

DAVID M. ZUCKER and EDWARD LAKATOS

Biostatistics Research Branch, National Heart, Lung, and Blood Institute Bethesda, Maryland 20892, U.S.A.

In certain long-term treatment trials, one expects some lag period before the treatment is fully effective. This paper presents two weighted log rank type statistics designed to have good efficiency over a wide range of lags: a maximin efficiency robust statistic and a simplified version of this statistic. Both statistics can be computed as easily as the log rank statistic. Asymptotic efficiency calculations, supported by small sample simulations, show that the two proposed statistics are substantially more efficient than the conventional log rank statistic in certain lag situations with comparatively little efficiency loss relative to the log rank statistic when no lag exists. We recommend the maximin statistic for situations where a lag is expected but cannot be specified precisely in advance.

Key Words: Clinical trial • Lag period • Relative efficiency • Weighted log rank statistic


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
G. Zheng and H. K. T. Ng
Genetic model selection in two-phase analysis for case-control association studies
Biostat., July 1, 2008; 9(3): 391 - 399.
[Abstract] [Full Text] [PDF]

Home page
 BiometrikaHome page
Y. Q. Chen, J. Yang, S. Cheng, and J. B. Jackson
Estimating a treatment effect with repeated measurements accounting for varying effectiveness duration
Biometrika, June 1, 2007; 94(2): 387 - 402.
[Abstract] [Full Text] [PDF]

Home page
 Stat Methods Med ResHome page
R. D Etzioni, R. J Connor, P. C Prorok, and S. G Self
Design and analysis of cancer screening trials
Statistical Methods in Medical Research, March 1, 1995; 4(1): 3 - 17.
[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.