Literature DB >> 22553383

A Mass Redistribution Algorithm for Right Censored and Left Truncated Time to Event Data.

Xu Zhang1, Mei-Jie Zhang, Jason Fine.   

Abstract

Failure times are often right-censored and left-truncated. In this paper we give a mass redistribution algorithm for right-censored and/or left-truncated failure time data. We show that this algorithm yields the Kaplan-Meier estimator of the survival probability. One application of this algorithm in modeling the subdistribution hazard for competing risks data is studied. We give a product-limit estimator of the cumulative incidence function via modeling the subdistribution hazard. We show by induction that this product-limit estimator is identical to the left-truncated version of Aalen-Johansen (1978) estimator for the cumulative incidence function.

Entities:  

Year:  2009        PMID: 22553383      PMCID: PMC3339805          DOI: 10.1016/j.jspi.2009.03.007

Source DB:  PubMed          Journal:  J Stat Plan Inference        ISSN: 0378-3758            Impact factor:   1.111


  3 in total

1.  Nonparametric maximum likelihood estimation for competing risks survival data subject to interval censoring and truncation.

Authors:  M G Hudgens; G A Satten; I M Longini
Journal:  Biometrics       Date:  2001-03       Impact factor: 2.571

Review 2.  Estimation of failure probabilities in the presence of competing risks: new representations of old estimators.

Authors:  T A Gooley; W Leisenring; J Crowley; B E Storer
Journal:  Stat Med       Date:  1999-03-30       Impact factor: 2.373

3.  Bone marrow transplants from HLA-identical siblings as compared with chemotherapy for children with acute lymphoblastic leukemia in a second remission.

Authors:  A J Barrett; M M Horowitz; B H Pollock; M J Zhang; M M Bortin; G R Buchanan; B M Camitta; J Ochs; J Graham-Pole; P A Rowlings
Journal:  N Engl J Med       Date:  1994-11-10       Impact factor: 91.245

  3 in total
  3 in total

1.  A proportional hazards regression model for the subdistribution with right-censored and left-truncated competing risks data.

Authors:  Xu Zhang; Mei-Jie Zhang; Jason Fine
Journal:  Stat Med       Date:  2011-05-09       Impact factor: 2.373

2.  How to handle mortality when investigating length of hospital stay and time to clinical stability.

Authors:  Guy N Brock; Christopher Barnes; Julio A Ramirez; John Myers
Journal:  BMC Med Res Methodol       Date:  2011-10-26       Impact factor: 4.615

3.  General regression model for the subdistribution of a competing risk under left-truncation and right-censoring.

Authors:  A Bellach; M R Kosorok; P B Gilbert; J P Fine
Journal:  Biometrika       Date:  2020-06-17       Impact factor: 3.028

  3 in total

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