Bayesian nonparametric inference on quantile residual life function: Application to breast cancer data

2012 ◽  
Vol 31 (18) ◽  
pp. 1972-1985 ◽  
Author(s):  
Taeyoung Park ◽  
Jong-Hyeon Jeong ◽  
Jae Won Lee
Keyword(s):  
Breast Cancer ◽  
Residual Life ◽  
Nonparametric Inference ◽  
Bayesian Nonparametric ◽  
Breast Cancer Data ◽  
Cancer Data ◽  
Residual Life Function ◽  
Quantile Residual Life ◽  
Life Function

Nonparametric Inference on Median Residual Life Function

Biometrics ◽  
2007 ◽  
Vol 64 (1) ◽  
pp. 157-163 ◽  
Author(s):  
Jong-Hyeon Jeong ◽  
Sin-Ho Jung ◽  
Joseph P. Costantino
Keyword(s):  
Residual Life ◽  
Nonparametric Inference ◽  
Residual Life Function ◽  
Life Function

scholarly journals Some new results on bathtub-shaped hazard rate models

2021 ◽  
Vol 19 (2) ◽  
pp. 1239-1250
Author(s):  
Mohamed Kayid ◽  
Keyword(s):  
Order Statistics ◽  
Hazard Rate ◽  
Residual Life ◽  
Change Points ◽  
Residual Lifetime ◽  
Lifetime Distributions ◽  
Residual Life Function ◽  
Basic Model ◽  
Quantile Residual Life ◽  
Life Function

<abstract><p>The most common non-monotonic hazard rate situations in life sciences and engineering involves bathtub shapes. This paper focuses on the quantile residual life function in the class of lifetime distributions that have bathtub-shaped hazard rate functions. For this class of distributions, the shape of the $ \alpha $-quantile residual lifetime function was studied. Then, the change points of the $ \alpha $-quantile residual life function of a general weighted hazard rate model were compared with the corresponding change points of the basic model in terms of their location. As a special weighted model, the order statistics were considered and the change points related to the order statistics were compared with the change points of the baseline distribution. Moreover, some comparisons of the change points of two different order statistics were presented.</p></abstract>

scholarly journals Dynamic Multivariate Quantile Residual Life in Reliability Theory

2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
M. Shafaei Noughabi ◽  
M. Kayid ◽  
A. M. Abouammoh
Keyword(s):  
Hazard Rate ◽  
Residual Life ◽  
Rate Function ◽  
Reliability Theory ◽  
Dynamic Feature ◽  
Hazard Rate Function ◽  
Residual Life Function ◽  
Quantile Residual Life ◽  
Multivariate Quantile ◽  
Life Function

We extend the univariate α-quantile residual life function to multivariate setting preserving its dynamic feature. Principal attributes of this function are derived and their relationship to the dynamic multivariate hazard rate function is discussed. A corresponding ordering, namely, α-quantile residual life order, for random vectors of lifetimes is introduced and studied. Based on the proposed ordering, a notion of positive dependency is presented. Finally, a discussion about conditions characterizing the class of decreasing multivariate α-quantile residual life functions is pointed out.

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.

Sign in / Sign up

Export Citation Format

Share Document