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Comparative Study
. 2011 Jan;17(1):101-22.
doi: 10.1007/s10985-010-9166-9. Epub 2010 Apr 23.

A new threshold regression model for survival data with a cure fraction

Sungduk Kim  1 , Ming-Hui Chen, Dipak K Dey
Affiliations
Comparative Study

A new threshold regression model for survival data with a cure fraction

Sungduk Kim et al. Lifetime Data Anal. 2011 Jan.

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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Figures

Fig. 1
Fig. 1
The graphical representation of the CIS model
Fig. 2
Fig. 2
The graphical representation of the LACR model
Fig. 3
Fig. 3
The graphical representation of the TCR model
See this image and copyright information in PMC

References

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    1. Chen M-H, Ibrahim JG (2001b) Bayesian model comparisons for survival data with a cure fraction In: Bayesian methods with applications to science, policy and official statistics. Office for Official Publications of the European Communities, Luxembourg, pp 81–90
    1. Chen M-H, Ibrahim JG, Sinha D (1999) A new Bayesian model for survival data with a surviving fraction. J Am Stat Assoc 94:909–919

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