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  • Title: Parametric cure models of relative and cause-specific survival for grouped survival times.
    Author: Gamel JW, Weller EA, Wesley MN, Feuer EJ.
    Journal: Comput Methods Programs Biomed; 2000 Feb; 61(2):99-110. PubMed ID: 10661395.
    Abstract:
    With parametric cure models, we can express survival parameters (e.g. cured fraction, location and scale parameters) as functions of covariates. These models can measure survival from a specific disease process, either by examining deaths due to the cause under study (cause-specific survival), or by comparing all deaths to those in a matched control population (relative survival). We present a binomial maximum likelihood algorithm to be used for actuarial data, where follow-up times are grouped into specific intervals. Our algorithm provides simultaneous maximum likelihood estimates for all the parameters of a cure model and can be used for cause-specific or relative survival analysis with a variety of survival distributions. Current software does not provide the flexibility of this unified approach.
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