Assessing the prediction accuracy of a cure model for censored survival data with long-term survivors: Application to breast cancer data

2017 ◽  
Vol 27 (6) ◽  
pp. 918-932 ◽  
Author(s):  
Junichi Asano ◽  
Akihiro Hirakawa
Keyword(s):  
Breast Cancer ◽  
Survival Data ◽  
Prediction Accuracy ◽  
Breast Cancer Data ◽  
Cure Model ◽  
Censored Survival Data ◽  
Cancer Data ◽  
Long Term Survivors

scholarly journals A BAYESIAN WEIBULL ANALYSIS OF BREAST CANCER DATA WITH LONG-TERM SURVIVORS IN PARANA STATE, BRAZIL

2021 ◽  
Vol 39 (2) ◽  
pp. 293-310
Author(s):  
Talita Evelin Nabarrete Tristão de MORAES ◽  
Isolde PREVIDELLI ◽  
Giovani Loiola da SILVA
Keyword(s):  
Breast Cancer ◽  
Survival Data ◽  
White Women ◽  
Age Groups ◽  
Population Based ◽  
Breast Cancer Data ◽  
Weibull Regression ◽  
Cancer Data ◽  
Long Term Survivors

Breast cancer is one of the most common diseases among women worldwide with about 25% of new cases each year. In Brazil, 59,700 new cases of breast cancer were expected in 2019, according to the Brazilian National Cancer Institute (INCA). Survival analysis has been an useful tool for the identifying the risk and prognostic factors for cancer patients. This work aims to characterize the prognostic value of demographic, clinical and pathological variables in relation to the survival time of 2,092 patients diagnosed with breast cancer in Parana State, Brazil, from 2004 to 2016. In this sense, we propose a Bayesian analysis of survival data with long-term survivors by using Weibull regression models through integrated nested Laplace approximations (INLA). The results point to a proportion of long-term survivors around 57:6% in the population under study. In regard to potential risk factors, we namely concluded that 40-50 year age group has superior survival than younger and older age groups, white women have higher breast cancer risk than other races, and marital status decreases that risk. Caution on the general use of these results is nevertheless advised, since we have analyzed population-based breast cancer data without proper monitoring by a healthprofessional.

scholarly journals LONG-TERM EFFECTS OF EPIRUBICIN ON INCIDENCE OF HEART FAILURE IN WOMEN WITH BREAST CANCER: DATA FROM A RANDOMIZED CLINICAL TRIAL

2016 ◽  
Vol 67 (13) ◽  
pp. 1513
Author(s):  
Ann Bøcher Secher Banke ◽  
Emil Fosbol ◽  
Jacob Møller ◽  
Gunnar Gislason ◽  
Mads Andersen ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Heart Failure ◽  
Clinical Trial ◽  
Randomized Clinical Trial ◽  
Breast Cancer Data ◽  
Long Term Effects ◽  
Cancer Data

Statistical Applications of Survival Data Analysis for Breast Cancer Data

2015 ◽  
Vol 4 (2) ◽  
pp. 30-36
Author(s):  
Ahammad Basha Shaik ◽  
◽  
Venkataramanaiah. M ◽  
Thasleema . ◽  
◽  
...  
Keyword(s):  
Breast Cancer ◽  
Data Analysis ◽  
Survival Data ◽  
Breast Cancer Data ◽  
Cancer Data
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