Does Breast Cancer Drive the Building of Survival Probability Models among States? An Assessment of Goodness of Fit for Patient Data from SEER Registries |
Khan, Hafiz
(Department of Public Health, Texas Tech University Health Sciences Center)
Saxena, Anshul (Department of Health Promotion and Disease Prevention, Florida International University) Perisetti, Abhilash (School of Medicine, Texas Tech University Health Sciences Center) Rafiq, Aamrin (Department of Computer Science, Texas Tech University) Gabbidon, Kemesha (School of Medicine, Texas Tech University Health Sciences Center) Mende, Sarah (Department of Public Health, Texas Tech University Health Sciences Center) Lyuksyutova, Maria (School of Medicine, Texas Tech University Health Sciences Center) Quesada, Kandi (Department of Public Health, Texas Tech University Health Sciences Center) Blakely, Summre (Department of Public Health, Texas Tech University Health Sciences Center) Torres, Tiffany (Department of Public Health, Texas Tech University Health Sciences Center) Afesse, Mahlet (Department of Public Health, Texas Tech University Health Sciences Center) |
1 | Co-Clarke CA, Keegan THM, Yang J, et al (2012). Age-specific incidence of breast cancer subtypes: understanding the black-white crossover. J Natl Cancer Inst, 104, 1094-101. DOI |
2 | DeSantis C, Ma J, Bryan L, Jemal A (2014). Breast cancer statistics, 2013. CA Cancer J Clin, 64, 52-62. DOI |
3 | EasyFit (2015). Distribution fitting made easy, mathwave-data analysis & simulation, version 5.5, retrieved on July 20, 2015 from http://www.mathwave.com/easyfit-distribution-fitting.html. |
4 | Khan HMR, Saxena A, Gabbidon K, Ross E, Shrestha A (2014), b. Statistical applications for the prediction of white Hispanic breast cancer survival. Asian Pac J Cancer Prev, 15, 5571-5. DOI |
5 | Iqbal J, Ginsburg O, Rochon PA, Sun P, Narod SA (2015). Differences in breast cancer stage at diagnosis and cancer-specific survival by race and ethnicity in the United States. JAMA, 313, 165. DOI |
6 | Kwan ML, John EM, Caan BJ, et al (2014). Obesity and mortality after breast cancer by Race/Ethnicity: The California breast cancer survivorship consortium. Am J Epidemiol, 179, 95-111. DOI |
7 | Khan HMR, Ibrahimou B, Gabbidon K, et al (2014). a. statistical estimates from black non-Hispanic female breast cancer data. Asian Pac J Cancer Prev, 15, 1-6. DOI |
8 | Khan HMR, Saxena A, Gabbidon K, Stewart TSJ, Bhatt C (2014). c. Survival analysis for white non-Hispanic female breast cancer patients. Asian Pac J Cancer Prev, 15, 4049-54. DOI |
9 | Khan HMR, Saxena A, Vera V, et al (2014). d. black Hispanic and black non-Hispanic breast cancer survival data Analysis with half-normal model application. Asian Pac J Cancer Prev, 15, 1-6. DOI |
10 | Ning J, Peng S, Ueno N, et al (2015). Has racial difference in cause-specific death improved in older patients with late-stage breast cancer?. Ann Oncol, 26, 2161-68. DOI |
11 | Ooi SL, Martinez ME, Li CI (2011). Disparities in breast cancer characteristics and outcomes by race/ethnicity. Breast Cancer Res Treat, 127, 729-38. DOI |
12 | Silber JH, Rosenbaum PR, Clark AS, et al (2013). Characteristics associated with differences in survival among black and white women with breast cancer. JAMA, 310, 389. DOI |
13 | SEER (2010). Surveillance, epidemiology, and end results (SEER) program (www.seer.cancer.gov) research data (1973-2009), national cancer institute, DCCPS, surveillance research program. [Accessed July 10, 2013]. |
14 | Siegel R, Desantis C, Virgo K, et al (2013). Cancer treatment and survivorship statistics , 2012. CA Cancer J Clin, 62, 220-41. |
15 | Siegel R, Miller K, Jemal A (2015). Cancer statistics , 2015 . CA Cancer J Clin, 65, 5-29. DOI |
16 | SPSS (2015). Statistical package for the social sciences (SPSS), IBM Inc., Retrieved on February 15, 2015 from http://www-03.ibm.com/software/products/en/spss-statistics |