Literature DB >> 1391989

A graphical approach to the analysis of censored data.

R Gentleman1, J J Crowley.   

Abstract

The presence of censoring has hampered the graphical exploration of survival data. We present several graphical approaches to the analysis of such data here, many based on functionals of the distribution function and estimated using the Kaplan-Meier estimate of the distribution function. Topics covered include comparing two samples, comparing many samples, and regression.

Mesh：

Year:  1992        PMID： 1391989     DOI： 10.1007/bf01840836

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN： 0167-6806            Impact factor:   4.872


  3 in total

1.  Solitary brain metastasis: results of an RTOG/SWOG protocol evaluation surgery + RT versus RT alone.

Authors:  W T Sause; J J Crowley; R Morantz; M Rotman; P A Mowry; A Bouzaglou; J R Borst; H Selin
Journal:  Am J Clin Oncol       Date:  1990-10       Impact factor: 2.339

2.  Local full likelihood estimation for the proportional hazards model.

Authors:  R Gentleman; J Crowley
Journal:  Biometrics       Date:  1991-12       Impact factor: 2.571

3.  A method of analysis of a certain class of experiments in carcinogenesis.

Authors:  M C Pike
Journal:  Biometrics       Date:  1966-03       Impact factor: 2.571
  3 in total
  1 in total

1.  Renovating interval-censored responses.

Authors:  P J Smith
Journal:  Lifetime Data Anal       Date:  1996       Impact factor: 1.588
  1 in total

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