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Proceedings of the National Academy of Sciences of the United States of America logoLink to Proceedings of the National Academy of Sciences of the United States of America
. 1989 May;86(10):3466–3468. doi: 10.1073/pnas.86.10.3466

Biostatistical analysis of mortality data for cohorts of cancer patients.

L Pauling 1
PMCID: PMC287158  PMID: 2726729

Abstract

The Hardin Jones principle states that for a homogeneous cohort of cancer patients the logarithm of the fraction surviving at time t has a constant slope. With use of this principle, the survival times of the members of a heterogeneous cohort can be analyzed to divide the cohort into subcohorts with different mortality rate constants. Probable values of the additional survival time can be estimated for members surviving at the closing date of a clinical trial, permitting them to be included in the biostatistical analysis of the results of the trial in a more significant way than through Kaplan-Meier renormalization.

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Selected References

These references are in PubMed. This may not be the complete list of references from this article.

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