Modelling of breast cancer survival data: A frailty model approach.

Pari Dayal, L.; Alexander, L.T.; Ponnuraja, C.; Venkatesan, P.

Indian Journal of Applied Research; 2013; 3; 1-3.

Abstract: The implication of ignoring the unobserved heterogeneity while estimating the parameter of time to event survival model which assumes impliciting the homogeneous population. It is also important to procure and express the analysis for varying treatment effects among different subjects of patients in clinical trials. This paper aims to implement a class of flexible accelerated failure time model with proportional hazard assumptions and random effect. The model is applied to breast cancer data with frailty assumptions and compared with non-frailty models. The results show that the frailty model approach is compared with the other models for survival prediction.

Keywords: Breast cancer; accelerated failure time models; heterogeneity; shared frailty model

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