Inferential statistics from Black Hispanic breast cancer survival data
type: Item
instance of: scholarly article
title: Inferential statistics from Black Hispanic breast cancer survival data
zbMATH Open document ID: 1328.62590
DOI: 10.1155/2014/604581
author: Hafiz M. R. Khan
author: Anshul Saxena
author: Elizabeth Ross
author: Venkataraghavan Ramamoorthy
author: Diana Sheehan
published in: The Scientific World Journal. Probability and Statistics
publication date: 2016-01-13T00:00:00Z
review text: Summary: 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.
Mathematics Subject Classification ID: 62P10
Mathematics Subject Classification ID: 92C50
Mathematics Subject Classification ID: 62N01
zbMATH DE Number: 6529681
Wikidata QID: Q51099003
describes a project that uses: Mathematica
describes a project that uses: SPSS
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2014/604581
OpenAlex ID: W2014370026
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description: scientific article; zbMATH DE number 6529681