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Comput Methods Programs Biomed. 2000 Feb;61(2):99-110.

Parametric cure models of relative and cause-specific survival for grouped survival times.

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  • 1Veterans Administration Hospital and University of Louisville School of Medicine, KY 40292, USA. jwgamel@louisville.edu


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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