Literature DB >> 26468013

Semiparametric simultaneous confidence bands for the difference of survival functions.

Nubyra Ahmed1, Sundarraman Subramanian2.   

Abstract

In the analysis of censored survival data, simultaneous confidence bands are useful devices to help determine the efficacy of a treatment over a control. Semiparametric confidence bands are developed for the difference of two survival curves using empirical likelihood and compared with the nonparametric counterpart. Simulation studies are presented to show that the proposed semiparametric approach is superior, with the new confidence bands giving empirical coverage closer to the nominal level. Further comparisons reveal that the semiparametric confidence bands are tighter and, hence, more informative. For censoring rates between 10 and 40 %, the semiparametric confidence bands provide a relative reduction in enclosed area amounting to between 2 and 10 % over their nonparametric bands, with increased reduction attained for higher censoring rates. The methods are illustrated using an University of Massachusetts AIDS data set.

Entities:  

Keywords:  Censoring indicator; Counting process; Covariance function; Gaussian multiplier bootstrap; Lagrange multiplier; Martingale

Mesh:

Year:  2015        PMID: 26468013     DOI: 10.1007/s10985-015-9348-6

Source DB:  PubMed          Journal:  Lifetime Data Anal        ISSN: 1380-7870            Impact factor:   1.588


  3 in total

1.  Confidence bands for the difference of two survival curves under proportional hazards model.

Authors:  M J Zhang; J P Klein
Journal:  Lifetime Data Anal       Date:  2001-09       Impact factor: 1.588

2.  Simultaneous confidence bands for Cox regression from semiparametric random censorship.

Authors:  Shoubhik Mondal; Sundarraman Subramanian
Journal:  Lifetime Data Anal       Date:  2015-02-18       Impact factor: 1.588

3.  Semiparametric inference on the absolute risk reduction and the restricted mean survival difference.

Authors:  Song Yang
Journal:  Lifetime Data Anal       Date:  2013-02-08       Impact factor: 1.588

  3 in total
  3 in total

1.  Function-based hypothesis testing in censored two-sample location-scale models.

Authors:  Sundarraman Subramanian
Journal:  Lifetime Data Anal       Date:  2018-12-11       Impact factor: 1.588

2.  Statistical description for survival data.

Authors:  Zhongheng Zhang
Journal:  Ann Transl Med       Date:  2016-10

3.  Visualizing the quantile survival time difference curve.

Authors:  Harald Heinzl; Martina Mittlboeck
Journal:  J Eval Clin Pract       Date:  2018-05-23       Impact factor: 2.431

  3 in total

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