BACKGROUND A new class of immuno-oncology agents has recently been shown to induce long-term survival in a proportion of treated patients. This phenomenon poses unique challenges for the prediction of analysis time in event-driven studies. If the phenomenon of long-term survival is not accounted for properly, the accuracy of the prediction based on the existing methods may be substantially comp...

BACKGROUND The probability of cure is a long-term prognostic measure of cancer survival. Estimates of the cure fraction, the proportion of patients "cured" of the disease, are based on extrapolating survival models beyond the range of data. The objective of this work is to evaluate the sensitivity of cure fraction estimates to model choice and study design. METHODS Data were obtained from the...

1. A.B.Shetty Memorial Institute of Dental Sciences Nitte University, Deralakatte, Mangalore, Karnataka, India. 2. Mangalore University, Karnataka, India. Abstract : Cure rate models are survival models consisting of a cured fraction and an uncured fraction. These models are being widely used in analyzing data from cancer clinical trials. A model to estimate the cure fraction was first develope...

In this paper we consider a parametric Weibull mixture cure model for modeling time to default on a personal loan portfolio in presence of disproportionate hazard rate. The main contribution of this paper is to evidence that mixture cure models are appropriate for non proportional sceneries, which has not been claimed in recent articles that brings survival analysis approach for credit scoring ...