Literature DB >> 11763544

Nonparametric test for doubly interval-censored failure time data.

J Sun1.   

Abstract

This paper considers comparison of discrete failure time distributions when the survival time of interest measures elapsed time between two related events and observations on the occurrences of both events could be interval-censored. This kind of data is often referred to as doubly interval-censored failure time data. If the occurrence of the first event defining the survival time can be exactly observed, the data are usually referred to as interval-censored data. For the comparison problem based on interval-censored failure time data, Sun (1996) proposed a nonparametric test procedure. In this paper we generalize the procedure given in Sun (1996) to doubly interval-censored data case and the generalized test is evaluated by simulations.

Mesh:

Year:  2001        PMID: 11763544     DOI: 10.1023/a:1012596731505

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


  11 in total

1.  Comparing several score tests for interval censored data.

Authors:  M P Fay
Journal:  Stat Med       Date:  1999-02-15       Impact factor: 2.373

2.  Regression analysis of doubly censored failure time data with applications to AIDS studies.

Authors:  J Sun; Q Liao; M Pagano
Journal:  Biometrics       Date:  1999-09       Impact factor: 2.571

3.  Fitting semi-Markov models to interval-censored data with unknown initiation times.

Authors:  G A Satten; M R Sternberg
Journal:  Biometrics       Date:  1999-06       Impact factor: 2.571

4.  Applications of multiple imputation to the analysis of censored regression data.

Authors:  G C Wei; M A Tanner
Journal:  Biometrics       Date:  1991-12       Impact factor: 2.571

5.  A non-parametric test for interval-censored failure time data with application to AIDS studies.

Authors:  J Sun
Journal:  Stat Med       Date:  1996-07-15       Impact factor: 2.373

6.  Self-consistency estimation of distributions based on truncated and doubly censored survival data with applications to AIDS cohort studies.

Authors:  J Sun
Journal:  Lifetime Data Anal       Date:  1997       Impact factor: 1.588

7.  Analysis of doubly-censored survival data, with application to AIDS.

Authors:  V De Gruttola; S W Lagakos
Journal:  Biometrics       Date:  1989-03       Impact factor: 2.571

8.  A proportional hazards model for interval-censored failure time data.

Authors:  D M Finkelstein
Journal:  Biometrics       Date:  1986-12       Impact factor: 2.571

9.  A nonparametric test for comparing two samples where all observations are either left- or right-censored.

Authors:  P K Andersen; B B Rønn
Journal:  Biometrics       Date:  1995-03       Impact factor: 2.571

10.  Nonparametric tests of tumor prevalence data.

Authors:  J Sun; J D Kalbfleisch
Journal:  Biometrics       Date:  1996-06       Impact factor: 2.571

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