An implicitly defined parametric model for censored survival data and covariates

S. Piantadosi, J. Crowley

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Parametric survival functions are usually defined as explicit functions of time and covariates. However, consideration of some simple differential equations describing certain survival curves leads to a descriptive equation which cannot be explicitly solved for the survival function. Nevertheless, the resulting survival function has useful properties: it is a hybrid between the exponential and uniform distributions, it can be used computationally in the same fashion as other survival models, and the effect of covariates on model parameters can be incorporated in a straightforward manner. The derivation and an example of the use of this model are provided.

    Original languageEnglish (US)
    Pages (from-to)249-258
    Number of pages10
    JournalBiometrics
    Volume51
    Issue number1
    DOIs
    StatePublished - May 30 1995

    Keywords

    • Censored survival data
    • Covariates
    • Implicit survival model
    • Parametric model
    • Survival function

    ASJC Scopus subject areas

    • Statistics and Probability
    • Biochemistry, Genetics and Molecular Biology(all)
    • Immunology and Microbiology(all)
    • Agricultural and Biological Sciences(all)
    • Applied Mathematics

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