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A model with long-term survivors: negative binomial Birnbaum-Saunders. (English) Zbl 1341.62268

Summary: We propose a cure rate survival model by assuming that the number of competing causes of the event of interest follows the negative binomial distribution and the time to the event of interest has the Birnbaum-Saunders distribution. Further, the new model includes as special cases some well-known cure rate models published recently. We consider a frequentist analysis for parameter estimation of the negative binomial Birnbaum-Saunders model with cure rate. Then, we derive the appropriate matrices for assessing local influence on the parameter estimates under different perturbation schemes. We illustrate the usefulness of the proposed model in the analysis of a real data set from the medical area.

MSC:

62N01 Censored data models
62N02 Estimation in survival analysis and censored data
62N03 Testing in survival analysis and censored data

Software:

R; timereg
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References:

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