Resolving the tail instability in weighted log-rank statistics for clustered survival data

Statistics and Probability Letters

Volumn 76, Issue 3, 2006, Pages 304-309

  Kosorok, Michael R ^a   Gangnon, Ronald E ^b  

^a University of Wisconsin Madison   (United States)

^b UNIVERSITY OF WISCONSIN SCHOOL OF MEDICINE AND PUBLIC HEALTH   (United States)

Author keywords

Clustered data; Local alternative; Log rank statistic; Martingales; Multivariate survival data; Tail instability

Indexed keywords

EID: 30344471496     PISSN: 01677152     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.spl.2005.08.026     Document Type: Article

References (5)

1. P.K. Andersen Ø. Borgan R.D. Gill N.K. Keiding Statistical Models Based on Counting Processes 1993 Springer Berlin, New York
2. T.R. Fleming D.P. Harrington Counting Processes and Survival Analysis 1991 Wiley New York
3. R.E. Gangnon M.R. Kosorok Sample-size formula for clustered survival data using weighted log-rank statistics Biometrika 91 2004 263-275
4. M.G. Gu T.L. Lai Weak convergence of time-sequential censored rank statistics with applications to sequential testing in clinical trials Ann. Statist. 19 1991 1403-1433
5. M.R. Kosorok On global consistency of a bivariate survival estimator under univariate censoring Statist. Probab. Lett. 56 2002 439-446