Literature DB >> 9384648

Renovating interval-censored responses.

P J Smith1.   

Abstract

In this note we provide a general framework for describing interval-censored samples including estimation of the magnitude and rank positions of data that have been interval-censored so as to counteract the effect of censoring. This process of sample adjustment, or renovation, allows samples to be compared graphically, using diagrams (such as boxplots) which are based on ranks. The renovation process is based on Buckley-James regression estimators for linear regression with censored data.

Mesh:

Year:  1996        PMID: 9384648     DOI: 10.1007/bf00128470

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


  5 in total

1.  A graphical approach to the analysis of censored data.

Authors:  R Gentleman; J J Crowley
Journal:  Breast Cancer Res Treat       Date:  1992       Impact factor: 4.872

2.  Linear regression analysis based on Buckley-James estimating equation.

Authors:  J S Lin; L J Wei
Journal:  Biometrics       Date:  1992-09       Impact factor: 2.571

3.  Prediction in censored survival data: a comparison of the proportional hazards and linear regression models.

Authors:  G Heller; J S Simonoff
Journal:  Biometrics       Date:  1992-03       Impact factor: 2.571

4.  On plotting renovated samples.

Authors:  P J Smith
Journal:  Biometrics       Date:  1995-09       Impact factor: 2.571

5.  A semiparametric model for regression analysis of interval-censored failure time data.

Authors:  D M Finkelstein; R A Wolfe
Journal:  Biometrics       Date:  1985-12       Impact factor: 2.571

  5 in total

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