Literature DB >> 6534408

A two-sample censored-data rank test for acceleration.

N E Breslow, L Edler, J Berger.   

Abstract

A score test for the null hypothesis of proportional hazards against rank-regression alternatives is proposed as a complement to the logrank test for comparing censored survival curves. The test statistic has an asymptotic normal distribution that is independent of the logrank distribution under the null hypothesis, and its power is good against acceleration alternatives (i.e. with crossing hazards) where the logrank test fails. Monte Carlo studies indicate that its small-sample properties are comparable to those of the logrank and ranksum procedures.

Mesh:

Year:  1984        PMID: 6534408

Source DB:  PubMed          Journal:  Biometrics        ISSN: 0006-341X            Impact factor:   2.571


  6 in total

1.  Validation of a heteroscedastic hazards regression model.

Authors:  Hong-Dar Isaac Wu; Fushing Hsieh; Chen-Hsin Chen
Journal:  Lifetime Data Anal       Date:  2002-03       Impact factor: 1.588

2.  Tests for the proportional intensity assumption based on the score process.

Authors:  Jan Terje Kvaløy; Linda Reiersølmoen Neef
Journal:  Lifetime Data Anal       Date:  2004-06       Impact factor: 1.588

3.  Biological assays for irritant, tumor-initiating and -promoting activities. III. Computer-assisted management and validation of biodata generated by standardized initiation/promotion protocols in skin of mice.

Authors:  L Edler; R Schmidt; E Weber; F Rippmann; E Hecker
Journal:  J Cancer Res Clin Oncol       Date:  1991       Impact factor: 4.553

4.  Partitioned log-rank tests for the overall homogeneity of hazard rate functions.

Authors:  Yukun Liu; Guosheng Yin
Journal:  Lifetime Data Anal       Date:  2016-03-19       Impact factor: 1.588

5.  Survival and effectiveness of leflunomide compared with methotrexate and sulfasalazine in rheumatoid arthritis: a matched observational study.

Authors:  D Aletaha; T Stamm; T Kapral; G Eberl; J Grisar; K P Machold; J S Smolen
Journal:  Ann Rheum Dis       Date:  2003-10       Impact factor: 19.103

6.  Improved logrank-type tests for survival data using adaptive weights.

Authors:  Song Yang; Ross Prentice
Journal:  Biometrics       Date:  2009-04-13       Impact factor: 2.571

  6 in total

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