Literature DB >> 4074816

A two-sample test sensitive to crossing hazards in uncensored and singly censored data.

D M Stablein, I A Koutrouvelis.   

Abstract

Savage score statistics are employed to develop a test for comparing survival distributions with right-hand singly censored data. The procedure is motivated by the interest in developing a powerful method for determining differences when true survival distributions cross. Examination of small-sample characteristics under the null hypothesis indicate that asymptotic critical values yield a slightly conservative test. Power of the test compares favorably with other criteria, including the modified Smirnov procedure, particularly if there is a single crossing of the survival curves.

Mesh:

Year:  1985        PMID: 4074816

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


  5 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.  Comparing quantile residual life functions by confidence bands.

Authors:  Alba M Franco-Pereira; Rosa E Lillo; Juan Romo
Journal:  Lifetime Data Anal       Date:  2011-11-16       Impact factor: 1.588

3.  Survival estimation through the cumulative hazard function with monotone natural cubic splines.

Authors:  Leonidas E Bantis; John V Tsimikas; Stelios D Georgiou
Journal:  Lifetime Data Anal       Date:  2012-03-08       Impact factor: 1.588

4.  Tests for equality of survival distributions against non-location alternatives.

Authors:  Vilijandas B Bagdonavicius; Ruta J Levuliene; Mikhail S Nikulin; Olga Zdorova-Cheminade
Journal:  Lifetime Data Anal       Date:  2004-12       Impact factor: 1.588

5.  Statistical inference methods for two crossing survival curves: a comparison of methods.

Authors:  Huimin Li; Dong Han; Yawen Hou; Huilin Chen; Zheng Chen
Journal:  PLoS One       Date:  2015-01-23       Impact factor: 3.240

  5 in total

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