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:: Volume 7, Issue 1 (9-2013) ::
J. of Stat. Sci. 2013, 7(1): 45-60 Back to browse issues page
On Hypergeometric Generalized Negative Binomial Distribution in Promotion Time Cure Model
Mitra Rahimzadeh , Ahmad Reza Baghestani , Behrooz Kavehei
Abstract:   (13504 Views)
On Hypergeometric Generalized Negative Binomial Distribution in Promotion Time Cure Model In analysis of survival data if exposes a high percentage of censoring due to termination of the study, whereas the study has lasted long enough, it is preferred to utilize cure models. These models, which are based on the latent variable distribution, has obtained much attention in the last decade. In this paper the Hypergeometric Generalized Negative Binomial distribution of the latent variable is used to model the long time survival data. The new model parameters are estimated in Bayesian approach. This model is applied for a Primary Biliary Cirrhosis clinical trial data and a simulated data set. With respect to DIC, Hypergeometric Generalized Negative Binomial model is a suitable fit to the data.
Keywords: Long-term survivors, Promotion time cure model, Hypergeometric generalized negative binomial
Full-Text [PDF 474 kb]   (1782 Downloads)    
Type of Study: Research | Subject: Biostatistics
Received: 2012/11/18 | Accepted: 2013/12/4 | Published: 2013/12/4
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Rahimzadeh M, Baghestani A R, Kavehei B. On Hypergeometric Generalized Negative Binomial Distribution in Promotion Time Cure Model. J. of Stat. Sci.. 2013; 7 (1) :45-60
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Volume 7, Issue 1 (9-2013) Back to browse issues page
مجله علوم آماری – نشریه علمی پژوهشی انجمن آمار ایران Journal of Statistical Sciences
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