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Journal of Biostatistics and Epidemiology، جلد ۱، شماره ۱-۲، صفحات ۱-۹
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عنوان انگلیسی Estimation of excess hazard using compound Poisson frailty model
چکیده انگلیسی مقاله B a c k g r o u n d & Aim: The excess hazard rate proposed by Andersen and Vaeth may underestimate the long-term excess hazard rate for cancer survival. Zahl explained the phenomenon by continuous selection of the most robust individuals after diagnosis. He applied correlated inverse Gaussian and gamma frailty models to estimate excess intensity and reached a better estimate of the rate and called it the corrected excess hazard. The compound Poisson distribution has more parameters and therefore owns more flexibility and includes gamma and inverse Gaussian distributions as special cases. Therefore, the aim of this study was to estimate the excess hazard using compound poisson frailty model Methods & Materials: Both shared and correlated frailty (CF) variables based on compound Poisson distribution were used to model unobserved common covariates. A data set of patients diagnosed with localized or regional gastrointestinal tract cancer collected at the Mazandaran province of Iran was studied. As registration systems in Iran are so affected by omission and various errors, a number of five West Coale- Demeny life tables for men and four for women were constructed corresponding to each birth cohort, which was considered as the reference life tables. Thus, population-based mortality rates [ h 1( t )] were simply replaced by the appropriate values of the West tables depending on the sex (male or female) and birth cohort of the patient. R e s u lt s : The CF model with unequal variances could best estimate the long-term excess hazard. C on c l u sio n : This study advocates the CF models can best estimate the long-term excess hazard rates regardless of the distribution of the frailty variable.
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نویسندگان مقاله محمود شیخ فتح الهی | mahmood sheikh fathollahi
department of social medicine and occupational environment research center, medical school, rafsanjan university of medical sciences, rafsanjan, iran

سازمان اصلی تایید شده: دانشگاه علوم پزشکی رفسنجان (Rafsanjan university of medical sciences)

محمود محمودی | mahmood mahmoodi
department of epidemiology and biostatistics, school of public health, tehran university of medical sciences, tehran, iran

سازمان اصلی تایید شده: دانشگاه علوم پزشکی تهران (Tehran university of medical sciences)

کاظم محمد | kazem mohammad
department of epidemiology and biostatistics, school of public health, tehran university of medical sciences, tehran, iran

سازمان اصلی تایید شده: دانشگاه علوم پزشکی تهران (Tehran university of medical sciences)

حجت زراعتی | hojjat zeraati
department of epidemiology and biostatistics, school of public health, tehran university of medical sciences, tehran, iran

سازمان اصلی تایید شده: دانشگاه علوم پزشکی تهران (Tehran university of medical sciences)

آرش جلالی | arash jalali
department of epidemiology and biostatistics, school of public health, tehran university of medical sciences, tehran, iran

سازمان اصلی تایید شده: دانشگاه علوم پزشکی تهران (Tehran university of medical sciences)

نشانی اینترنتی http://jbe.tums.ac.ir/index.php/jbe/article/view/9
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