A new threshold regression model for survival data with a cure fraction
- First Online:
- Cite this article as:
- Kim, S., Chen, M. & Dey, D.K. Lifetime Data Anal (2011) 17: 101. doi:10.1007/s10985-010-9166-9
Due to the fact that certain fraction of the population suffering a particular type of disease get cured because of advanced medical treatment and health care system, we develop a general class of models to incorporate a cure fraction by introducing the latent number N of metastatic-competent tumor cells or infected cells caused by bacteria or viral infection and the latent antibody level R of immune system. Various properties of the proposed models are carefully examined and a Markov chain Monte Carlo sampling algorithm is developed for carrying out Bayesian computation for model fitting and comparison. A real data set from a prostate cancer clinical trial is analyzed in detail to demonstrate the proposed methodology.