title: Inferential statistics from Black Hispanic breast cancer survival data.
abstract: In this paper we test the statistical probability models for breast cancer survival data for race and ethnicity. Data was collected from breast cancer patients diagnosed in United States during the years 1973-2009. We selected a stratified random sample of Black Hispanic female patients from the Surveillance Epidemiology and End Results (SEER) database to derive the statistical probability models. We used three common model building criteria which include Akaike Information Criteria (AIC), Bayesian Information Criteria (BIC), and Deviance Information Criteria (DIC) to measure the goodness of fit tests and it was found that Black Hispanic female patients survival data better fit the exponentiated exponential probability model. A novel Bayesian method was used to derive the posterior density function for the model parameters as well as to derive the predictive inference for future response. We specifically focused on Black Hispanic race. Markov Chain Monte Carlo (MCMC) method was used for obtaining the summary results of posterior parameters. Additionally, we reported predictive intervals for future survival times. These findings would be of great significance in treatment planning and healthcare resource allocation.
authors.affiliation: Department of Biostatistics, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL 33199, USA.
authors.forename: Hafiz M R
authors.initials: HM
authors.lastname: Khan
authors.affiliation: Department of Health Promotion & Disease Prevention, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL 33199, USA.
authors.forename: Anshul
authors.initials: A
authors.lastname: Saxena
authors.affiliation: Behavioral Science Research, 2121 Ponce De Leon, Coral Gables, FL 33134, USA.
authors.forename: Elizabeth
authors.initials: E
authors.lastname: Ross
authors.affiliation: Department of Dietetics and Nutrition, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL 33199, USA.
authors.forename: Venkataraghavan
authors.identifier: 0000-0002-2448-6733
authors.initials: V
authors.lastname: Ramamoorthy
authors.affiliation: Department of Epidemiology, Robert Stempel College of Public Health & Social Work, Florida International University, Miami, FL 33199, USA.
authors.forename: Diana
authors.identifier: 0000-0002-7949-4802
authors.initials: D
authors.lastname: Sheehan
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D001499:Bayes Theorem; D001943:Breast Neoplasms / Q000453:epidemiology* / Q000401:mortality; D005260:Female; D062306:Geography, Medical; D006630:Hispanic or Latino / Q000706:statistics & numerical data*; D006801:Humans; D008875:Middle Aged; D015233:Models, Statistical; D012307:Risk Factors; D018426:SEER Program; D014481:United States / Q000453:epidemiology / Q000208:ethnology