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Does Breast Cancer Drive The Building Of Survival Probability Models Among States? An Assessment Of Goodness Of Fit For Patient Data From Seer Registries, Hafiz Mohammad Rafiqullah Khan, Anshul Saxena, Abhilash Perisetti, Aamrin Rafiq, Kemesha Gabbidon, Sarah Mende, Maria Lyuksyutova, Kandi Quesada, Summre Blakely, Tiffany Torres, Mahlet Afesse
Does Breast Cancer Drive The Building Of Survival Probability Models Among States? An Assessment Of Goodness Of Fit For Patient Data From Seer Registries, Hafiz Mohammad Rafiqullah Khan, Anshul Saxena, Abhilash Perisetti, Aamrin Rafiq, Kemesha Gabbidon, Sarah Mende, Maria Lyuksyutova, Kandi Quesada, Summre Blakely, Tiffany Torres, Mahlet Afesse
USF St. Petersburg campus Faculty Publications
Background:
Breast cancer is a worldwide public health concern and is the most prevalent type of cancer in women in the United States. This study concerned the best fit of statistical probability models on the basis of survival times for nine state cancer registries: California, Connecticut, Georgia, Hawaii, Iowa, Michigan, New Mexico, Utah, and Washington.
Materials and Methods:
A probability random sampling method was applied to select and extract records of 2,000 breast cancer patients from the Surveillance Epidemiology and End Results (SEER) database for each of the nine state cancer registries used in this study. EasyFit software was utilized …