scholarly journals Fitting Cure Rate Model to Breast Cancer Data of Cancer Research Center

2015 ◽  
Vol 16 (17) ◽  
pp. 7923-7927 ◽  
Author(s):  
Ahmad Reza Baghestani ◽  
Farid Zayeri ◽  
Mohammad Esmaeil Akbari ◽  
Leyla Shojaee ◽  
Naghmeh Khadembashi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Research ◽  
Research Center ◽  
Rate Model ◽  
Breast Cancer Data ◽  
Cure Rate ◽  
Cancer Data ◽  
Cure Rate Model

scholarly journals Estimation of survival and hazard curves of mixture Mirra cure rate model: Application to gastric and breast cancer data

2020 ◽  
Vol 9 (4) ◽  
pp. 132-137
Author(s):  
Marcos Vinicius de Oliveira Peres ◽  
Franchesco Sanches dos Santos ◽  
Ricado Puziol de Oliveira
Keyword(s):  
Breast Cancer ◽  
Rate Model ◽  
Breast Cancer Data ◽  
Cure Rate ◽  
Model Application ◽  
Cancer Data ◽  
Cure Rate Model ◽  
Hazard Curves

Survival probability and prognostic factors of Iranian breast cancer patients using cure rate model

2018 ◽  
Vol 24 (6) ◽  
pp. 1015-1018
Author(s):  
Mojtaba Meshkat ◽  
Ahmad Reza Baghestani ◽  
Farid Zayeri ◽  
Maryam Khayamzadeh ◽  
Mohammad Esmaeil Akbari
Keyword(s):  
Breast Cancer ◽  
Prognostic Factors ◽  
Cancer Patients ◽  
Survival Probability ◽  
Rate Model ◽  
Breast Cancer Patients ◽  
Cure Rate ◽  
Cure Rate Model

scholarly journals Application of a Non-Mixture Cure Rate Model for Analyzing Survival of Patients with Breast Cancer

2015 ◽  
Vol 16 (16) ◽  
pp. 7359-7363 ◽  
Author(s):  
Ahmad Reza Baghestani ◽  
Sahar Saeedi Moghaddam ◽  
Hamid Alavi Majd ◽  
Mohammad Esmaeil Akbari ◽  
Nahid Nafissi ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Rate Model ◽  
Cure Rate ◽  
Cure Rate Model

Bayesian Frailty Model for Time to Event Breast Cancer Data

2011 ◽  
Vol 4 (2) ◽  
pp. 8-12
Author(s):  
Leo Alexander T Leo Alexander T ◽  
◽  
Pari Dayal L Pari Dayal L ◽  
Valarmathi S Valarmathi S ◽  
Ponnuraja C Ponnuraja C ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Frailty Model ◽  
Breast Cancer Data ◽  
Time To Event ◽  
Cancer Data

AGE FEATURES OF MOLECULAR-BIOLOGICAL SUBTYPES OF BREAST CANCER IN THE REPUBLIC OF UZBEKISTAN

2018 ◽  
Vol 64 (2) ◽  
pp. 196-199
Author(s):  
Gulya Miryusupova ◽  
G. Khakimov ◽  
N. Shayusupov
Keyword(s):  
Breast Cancer ◽  
Cancer Care ◽  
Indigenous Women ◽  
Morbidity And Mortality ◽  
Breast Cancer Data ◽  
Female Population ◽  
Cancer Data ◽  
Age Related ◽  
The Republic ◽  
Age Features

According to the results of breast cancer data in the Republic of Uzbekistan in addition to the increase in morbidity and mortality from breast cancer among women the presence of age specific features among indigenous women in the direction of “rejuvenating” of the disease with all molecular-biological (phenotypic) subtypes of breast cancer were marked. Within the framework of age-related features the prevalence of the least favorable phenotypes of breast cancer was found among indigenous women: Her2/neu hyperexpressive and three times negative subtype of breast cancer. The data obtained made it possible to build a so-called population “portrait” of breast cancer on the territory of the Republic, which in turn would contribute to further improvement of cancer care for the female population of the country.

Genetics testing firm is accused of "hiding vital breast cancer data"

BMJ ◽  
2012 ◽  
Vol 345 (nov01 2) ◽  
pp. e7402-e7402
Author(s):  
N. Hawkes
Keyword(s):  
Breast Cancer ◽  
Breast Cancer Data ◽  
Cancer Data
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