Bayesian Method for Modeling Male Breast Cancer Survival Data

Survival Analysis for White Non-Hispanic Female Breast Cancer Patients

“…The majority of the females in the analytical sample were married (55%). Khan et al (2014b) discussed in details about three model selection criteria; Akaike Information Criterion (AIC), Deviance Information Criterion (DIC), and Bayesian Information Criterion (BIC). The DIC, a measure of fit is widely used for the comparison of different models.…”

“…These models include EEM, EWM, BGEM, and BIW, which were briefly used in this study. There are two parameters, shape (α>0) and scale (λ>0) for the EEM (Khan et al 2014b). The Weibull model has three parameters, α>0 and β>0 are the shape parameters, and λ>0 is the scale parameter (Khan et al 2014c).…”

“…There are two parameters, shape (α>0) and scale (λ>0) for the EEM (Khan et al 2014b). The Weibull model has three parameters, α>0 and β>0 are the shape parameters, and λ>0 is the scale parameter (Khan et al 2014c). The beta generalized exponential model has four parameters, where the shape parameter, α>0 and the scale parameter, λ>0, and additional two parameters, a>0 and b>0 are essential for varying tail weight and to present skewness (Barreto-Souza et al, 2010).…”

“…The beta generalized exponential model has four parameters, where the shape parameter, α>0 and the scale parameter, λ>0, and additional two parameters, a>0 and b>0 are essential for varying tail weight and to present skewness (Barreto-Souza et al, 2010). The beta inverse-Weibull (BIW) model is another type of statistical probability model, where β is the shape parameter, and two extra parameters, a>0 and b>0, are used to introduce skewness and tail weight (Khan et al 2014c(Khan et al , 2014d.…”

Health Disparities between Black Hispanic and Black Non-Hispanic Cervical Cancer Cases in the USA

“…From here, a simple random sampling was used to select 2,000 cases of black non-Hispanic females and 91 cases of black Hispanic females for a total study sample of 2091 women diagnosed with cervical cancer. For more information of selection of patients by making use of random sampling, readers are referred to Khan et al 2014bKhan et al , 2014cKhan et al , 2014d. In addition, we used subject's demographic information (age at diagnosis and marital status) as well as cervical cancer information (tumor primary site, grading, behavior, and lymph node involvement) from the SEER dataset for statistical analysis.…”