Literature DB >> 19654168

Interval censoring.

Zhigang Zhang1, Jianguo Sun.   

Abstract

Interval-censored failure time data occur in many medical investigations as well as other studies such as demographical and sociological studies. They include the usual right-censored failure time data as a special case but provide much more complex structure and less relevant information than the right-censored data. This article reviews some basic concepts, issues and the corresponding statistical approaches related to the analysis of interval-censored data as well as recent advances. In particular, we discuss estimation of a survival function, comparison of several treatments and regression analysis as well as competing risks analysis and truncation in the presence of interval censoring. A well-known example of interval-censored data is described and analysed to illustrate some of the statistical procedures discussed.

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Year:  2009        PMID: 19654168      PMCID: PMC3684949          DOI: 10.1177/0962280209105023

Source DB:  PubMed          Journal:  Stat Methods Med Res        ISSN: 0962-2802            Impact factor:   3.021


  27 in total

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Authors:  J D Bebchuk; R A Betensky
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2.  Generalized log-rank test for mixed interval-censored failure time data.

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Journal:  Stat Med       Date:  2004-05-30       Impact factor: 2.373

3.  Statistical analysis of current status data with informative observation times.

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4.  Semi-parametric accelerated failure time regression analysis with application to interval-censored HIV/AIDS data.

Authors:  Hongqi Xue; K F Lam; Benjamin J Cowling; Frank de Wolf
Journal:  Stat Med       Date:  2006-11-30       Impact factor: 2.373

5.  Regression analysis of doubly censored failure time data with frailty.

Authors:  Yang-Jin Kim
Journal:  Biometrics       Date:  2006-06       Impact factor: 2.571

6.  Efficient estimation for the proportional hazards model with bivariate current status data.

Authors:  Lianming Wang; Jianguo Sun; Xingwei Tong
Journal:  Lifetime Data Anal       Date:  2008-06       Impact factor: 1.588

7.  A transformation approach for the analysis of interval-censored failure time data.

Authors:  Liang Zhu; Xingwei Tong; Jianguo Sun
Journal:  Lifetime Data Anal       Date:  2008-06       Impact factor: 1.588

8.  CURRENT STATUS DATA WITH COMPETING RISKS: LIMITING DISTRIBUTION OF THE MLE.

Authors:  Piet Groeneboom; Marloes H Maathuis; Jon A Wellner
Journal:  Ann Stat       Date:  2008-01-01       Impact factor: 4.028

9.  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

10.  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

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7.  Interval censoring for survival curves when reporting the results of glaucoma surgery.

Authors:  S Dulku
Journal:  Eye (Lond)       Date:  2012-12-07       Impact factor: 3.775

8.  Mixture models for undiagnosed prevalent disease and interval-censored incident disease: applications to a cohort assembled from electronic health records.

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9.  A Bayesian proportional hazards model for general interval-censored data.

Authors:  Xiaoyan Lin; Bo Cai; Lianming Wang; Zhigang Zhang
Journal:  Lifetime Data Anal       Date:  2014-08-07       Impact factor: 1.588

10.  Hazard regression models of early mortality in trauma centers.

Authors:  David E Clark; Jing Qian; Robert J Winchell; Rebecca A Betensky
Journal:  J Am Coll Surg       Date:  2012-10-01       Impact factor: 6.113

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