A new threshold regression model for survival data with a cure fraction |
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Authors: | Sungduk Kim Ming-Hui Chen Dipak K. Dey |
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Affiliation: | (1) Department of Statistics, University of Connecticut, Storrs, CT 06269, USA;(2) Instituto de Matemtica, Universidade Federal do Rio de Janeiro, Rio de Janeiro, RJ, 21945-970, Brazil |
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Abstract: | 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. |
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