References
- American Cancer Society (ACS) (2012). Breast Cancer Facts & Figures 2011-2012. Atlanta: American Cancer Society.
- ACS (2013). Cancer Facts and Figures. Atlanta: American Cancer Society.
- Ahmed SE, Tomkins RJ (1995). Estimating lognormal mean using uncertain prior information, Pakistan J Statistics, 11, 67-92.
- Ahmed SE, Budsaba K, Lisawadi S, Volodin AI (2008). Parametric estimation for the Birnbaum-Saunders lifetime distribution based on a new parameterization, Thailand Statistician, 6, 213-40.
- Ahsanullah M, Ahmed SE (2001). Bayes and empirical Bayes estimates of survival and hazard functions of a class of distributions. Lecture Notes in Statistics, 148, 81-7. https://doi.org/10.1007/978-1-4613-0141-7_6
- Akaike H (1973). Information theory and an extension of the maximum likelihood principle. N.Petrov and E. Caski (eds), Budhapest: Addademiai Kiado, Proceedings of the 2nd International Symposium on Information Theory.
- Baghestani AR, Hajizadeh E, Fatemi SR (2009). Bayesian analysis for survival of patients with gastric cancer in Iran. Asian Pac J Cancer Prev, 10, 823-6.
- Barton MK (2013). Potential survival benefit with lumpectomy for patients with early stage breast cancer. CA Cancer J Clin, 63, 217-8. https://doi.org/10.3322/caac.21188
- Burstein HJ, Prestrud AA, Seidenfeld J, et al (2010). American Society of Clinical Oncology clinical practice guidelines: Update on adjuvant endocrine therapy for women with hormone receptor-positive breast cancer. J Clin Oncol, 28, 3784-96 https://doi.org/10.1200/JCO.2009.26.3756
- Congdon P (2007). Mixtures of spatial and unstructured effects for spatially discontinuous health outcomes. Computational Statistics and Data Analysis, 51, 3197-212. https://doi.org/10.1016/j.csda.2006.11.028
- Feigelson HS, James TA, Single RM, et al (2013). Factors associated with the frequency of initial total mastectomy: results of a multi-institutional study. J Am Coll Surg, 216, 966-75. https://doi.org/10.1016/j.jamcollsurg.2013.01.011
- Ferlay J, Soerjomataram I, Ervik M, et al (2013). GLOBOCAN 2012 v1.0, Cancer Incidence and Mortality Worldwide: IARC CancerBase No. 11 [Internet]. Lyon, France: International Agency for Research on Cancer.
- Gampenrieder SP, Rinnerthaler G, Greil R. (2013). Neoadjuvant chemotherapy and targeted therapy in breast cancer: past, present, and future. J Oncol, 2013, 732047.
- Gilks WR, Richardson S, Spiegelhalter DJ (1996). Markov Chain Monte Carlo in Practice. Chapman & Hall, Suffolk.
- Giuliano AE, Hunt KK, Ballman KV, et al (2011). Axillary dissection vs no axillary dissection in women with invasive breast cancer and sentinel node metastasis: a randomized clinical trial. JAMA, 305, 569-75. https://doi.org/10.1001/jama.2011.90
- Goel S, Gupta N, Walcott BP, et al (2013). Effects of vascularendothelial protein tyrosine phosphatase inhibition on breast cancer vasculature and metastatic progression. J Natl Cancer Inst, 105, 1188-201. https://doi.org/10.1093/jnci/djt164
- Goldhirsch A, Winer EP, Coates AS, et al (2013). Personalizing the treatment of women with early breast cancer: highlights of the St Gallen International Expert Consensus on the Primary Therapy of Early Breast Cancer 2013. Ann Oncol, 24, 2206-23. https://doi.org/10.1093/annonc/mdt303
- Graham LJ, Shupe MP, Schneble EJ, et al (2014). Current approaches and challenges in monitoring treatment responses in breast cancer. J Cancer, 5, 58-68. https://doi.org/10.7150/jca.7047
- Gupta RD, Kundu D (1999). Generalized exponential distributions. Aust N Z J Stat, 41, 173-88. https://doi.org/10.1111/1467-842X.00072
- Gupta RD, Kundu D (2001). Exponentiated exponential family: An alternative to gamma and Weibull distributions. Biometrical J , 43, 117-30. https://doi.org/10.1002/1521-4036(200102)43:1<117::AID-BIMJ117>3.0.CO;2-R
- Hou N, Huo D (2013). A trend analysis of breast cancer incidence rates in the United States from 2000 to 2009 shows a recent increase. Breast Cancer Res Treat, 138, 633-41. https://doi.org/10.1007/s10549-013-2434-0
- Jafari-Koshki T, Schmid VJ, Mahaki B (2014). Trends of breast cancer incidence in Iran During 2004-2008: A Bayesian space-time model. Asian Pac J Cancer Prev, 15, 1557-61. https://doi.org/10.7314/APJCP.2014.15.4.1557
- Jemal A, Bray F, Center M, et al (2011). Global Cancer Statistics. CA Cancer J Clin, 61, 69-90. https://doi.org/10.3322/caac.20107
- Khatcheressian JL, Hurley P, Bantug E, et al (2013). Breast cancer follow-up and management after primary treatment: American Society of Clinical Oncology clinical practice guideline update. JCO, 31, 961-65. https://doi.org/10.1200/JCO.2012.45.9859
- Khan HMR (2012a). Estimating predictive inference for responses from the generalized rayleigh model based on complete sample, J Thai Statistician, 10, 53-68.
- Khan HMR (2012b). Several priors based inference from the exponential model under censoring, JP J Fund Appl Stat, 2, 1-13.
- Khan HMR (2012c). Predictive inference for a future response using symmetrically trimmed sample from the half-normal model, Comput Stat Data Anal, 56, 1350-61. https://doi.org/10.1016/j.csda.2011.10.009
- Khan HMR (2012d). Improved predictive inference for responses based on location parameter median from the Rayleigh model given a doubly censored sample, Communications in Statistics - Theory and Methods, 41, 4427-38. https://doi.org/10.1080/03610926.2011.574218
- Khan HMR (2013a). Comparing relative efficiency from a right skewed model, JP J Biostat, 9, 1-26.
- Khan HMR (2013b). Inferential estimates from the oneparameter half-normal model. J Thai Stat, 11, 77-95.
- Khan HMR, Albatineh AN, Kheradia TN (2013). Local predictive estimates towards MLEs from the generalized half-normal model. J Stat Adv Theo Appl, 9, 73-98.
- Khan HMR, Albatineh AN, Tesfa S, et al (2011a). Predictive inference from two-parameter Weibull model given a doubly censored sample of hepatocellular carcinoma of liver patients, J App Stat Sci, 19, 115-28
- Khan HMR, Albatineh A, Alshahrani S, et al (2011b). Sensitivity analysis of predictive modeling for responses from the three-parameter Weibull model with a follow-up doubly censored sample of cancer patients, Comput Stat Data Anal, 55, 3093-103. https://doi.org/10.1016/j.csda.2011.05.017
- Khan HMR, Haq MS, Provost SB (2004). Predictive distributions for responses from the Weibull life testing model. J Stat Theory App, 3, 53-73.
- Khan HMR, Provost SB, Singh A (2010). Predictive inference from a two parameter Rayleigh life model given a doubly censored sample, Commun Stat Theory Methods, 39, 1237-46. https://doi.org/10.1080/03610920902871453
- Khan HM, Saxena A, Rana S, Ahmed NU (2014). Bayesian method for modeling male breast cancer survival data.. Asian Pac J Cancer Prev, 15, 663-9. https://doi.org/10.7314/APJCP.2014.15.2.663
- Kleinbaum DG, Klein M. (2012). Survival Analysis: A Self- Learning Text (3rd ed.). New York: Springer.
- Kwan ML, Kushi LH, Weltzien E, et al (2010). Alcohol consumption and breast cancer recurrence and survival among women with early-stage breast cancer: the life after cancer epidemiology study. JCO, 28, 4410-16. https://doi.org/10.1200/JCO.2010.29.2730
- Litiere S, Werutsky G, Fentiman IS, et al (2012). Breast conserving therapy versus mastectomy for stage I-II breast cancer: 20 year follow-up of the EORTC 10801 phase 3 randomised trial. Lancet Oncol, 13, 412-19. https://doi.org/10.1016/S1470-2045(12)70042-6
- Liu SZ, Zhang F, Quan PL, et al (2012). Time trends of esophageal cancer mortality in Linzhou city during the period 1988-2010 and a Bayesian approach projection for 2020. Asian Pac J Cancer Prev, 13, 4501-4. https://doi.org/10.7314/APJCP.2012.13.9.4501
- Mariotto AB, Yabroff KR, Shao Y, et al (2011). Projections of the cost of cancer care in the United States: 2010-2020. J Natl Cancer Inst, 103, 117-28. https://doi.org/10.1093/jnci/djq495
- Montero AJ, Eapen S, Gorin B, Adler P (2012). The economic burden of metastatic breast cancer: a US managed care perspective. Breast Cancer Res Treat, 134, 815-22. https://doi.org/10.1007/s10549-012-2097-2
- MRC Biostatistics Unit (2013). WinBUGS software version 1.4.3: The BUGS Project.
- Nassar MM, Eissa FH (2003). On the exponentiated Weibull distribution. Commun Stat Theory Methods, 32, 1317-36. https://doi.org/10.1081/STA-120021561
-
National Cancer Institute (NCI) (2013). Breast Cancer Treatment (
$PDQ^{(R)}$ ). Health Professional version, updated: November 19, 2013. - Peairs KS, Barone BB, Snyder CF, et al (2011). Diabetes mellitus and breast cancer outcomes: a systematic review and metaanalysis. JCO, 29, 40-6. https://doi.org/10.1200/JCO.2009.27.3011
- Protani M, Coory M, Martin JH (2010). Effect of obesity on survival of women with breast cancer: systematic review and meta-analysis. Breast Cancer Res Treat, 123, 627-35. https://doi.org/10.1007/s10549-010-0990-0
- Rao R, Euhus D, Mayo HG, Balch C (2013). Axillary node interventions in breast cancer: a systematic review. JAMA, 310, 1385-94. https://doi.org/10.1001/jama.2013.277804
- Robertson C, Arcot Ragupathy SK, Boachie C, et al (2011). The clinical effectiveness and cost-effectiveness of different surveillance mammography regimens after the treatment for primary breast cancer: systematic reviews registry database analyses and economic evaluation. Health Technol Assess, 15, 1-322.
- Sakamoto Y, Ishiguro M, Kitagawa G (1986). Akaike Information Criterion Statistics. Tokyo: D. Reidel.
- SEER (2013). Surveillance, Epidemiology and End Results. Cancer of the Breast - SEER Stat Fact Sheets.
- Siegel R, Naishadham D, Jemal A (2012). Cancer statistics, 2012. CA Cancer J Clin, 62, 10-29. https://doi.org/10.3322/caac.20138
- Smith RA, Brooks D, Cokkinides V, et al (2013). Cancer screening in the United States, 2013. CA Cancer J Clin, 63, 87-105. https://doi.org/10.3322/caac.21174
- Spiegelhalter DJ, Best NG, Carlin BP, Van der Linde A (2002). Bayesian measures of model complexity and fit (with discussion). J R Stat Soc Ser B Stat Methodol, 64, 191-232.
- Sprague BL, Trentham Dietz A, Gangnon RE, et al (2011). Socioeconomic status and survival after an invasive breast cancer diagnosis. Cancer, 117, 1542-51. https://doi.org/10.1002/cncr.25589
- U.S. Cancer Statistics Working Group (USCS). (2013). United States Cancer Statistics: 1999-2010 Incidence and Mortality Web-based Report. Atlanta: U.S. DHHS, CDC and NCI.
- Weiner LM, Surana R, Wang S (2010). Monoclonal antibodies: versatile platforms for cancer immunotherapy. Nat Rev Immunol, 10 317-27. https://doi.org/10.1038/nri2744
- White A, Richardson LC, Krontiras H, Pisu M (2013). Socioeconomic disparities in breast cancer treatment among older women. J Women's Health.
- Wolfram Research (2012). The Mathematica Archive: Mathematica 8.0, Wolfram Research Inc, Illinois.
- World Health Organization (WHO) (2013a). Cause-specific mortality and morbidity: Age-standardized mortality rate by cause by World Bank income group, 2008. Geneva: WHO.
- WHO (2013b). Charts for the 10 leading causes of death for women worldwide and by income group, 2011. Geneva: WHO.
- Yang XR, Chang-Claude J, Goode EL, et al (2011). Associations of breast cancer risk factors with tumor subtypes: a pooled analysis from the breast cancer association consortium studies. J Natl Cancer Inst, 103, 250-63. https://doi.org/10.1093/jnci/djq526
- Zurrida S, Bassi F, Arnone P, et al (2011). The changing face of mastectomy (from mutilation to aid to breast reconstruction). Int J Surg Oncol, 2011, 980158.
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