Kim S, Chen MH, Dey DK. A new threshold regression model for survival data with a cure fraction.
LIFETIME DATA ANALYSIS 2011;
17:101-122. [PMID:
20414804 PMCID:
PMC7829617 DOI:
10.1007/s10985-010-9166-9]
[Citation(s) in RCA: 15] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/01/2009] [Accepted: 04/10/2010] [Indexed: 05/29/2023]
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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