Testing for the Presence of Immune or Cured Individuals in Censored Survival Data

In a sample of censored survival times, the presence of an immune proportion of individuals who are not subject to death, failure, or relapse, etc., may be indicated by a relatively high number of individuals with large censored survival times. We summarise some recent theoretical work which justifi...

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Bibliographic Details
Published in:Biometrics 1995-12, Vol.51 (4), p.1197-1205
Main Authors: Maller, R. A., Zhou, Sean
Format: Article
Language:English
Subjects:
Biometrics
Biometry - methods
Bone Marrow Transplantation
Censored data
Censorship
Correlation coefficients
Goodness of fit
Humans
Immunity
Leukemia - immunology
Leukemia - mortality
Leukemia - therapy
Likelihood Functions
Modeling
Models, Biological
Models, Statistical
Parametric models
Proportions
Relapse
Statistics
Survival Analysis
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Summary:In a sample of censored survival times, the presence of an immune proportion of individuals who are not subject to death, failure, or relapse, etc., may be indicated by a relatively high number of individuals with large censored survival times. We summarise some recent theoretical work which justifies analogues of the usual model fitting and testing techniques for such data. In particular, we discuss a `boundary' test for the presence of immunes in the population and goodness of fit tests for parametric descriptions of the data. The methods are illustrated on some data on the relapse times of leukemia patients.
ISSN:0006-341X
1541-0420
DOI:10.2307/2533253