참고문헌
- Akaike H (1974). A new look at the statistical model identification. Automatic Control, IEEE Transactions on, 19, 716-23. https://doi.org/10.1109/TAC.1974.1100705
- Akbari A, Razzaghi Z, Homaee F, et al (2011). Parity and reastfeeding are preventive measures against breast cancer in Iranian women. Breast Cancer, 18, 51-5. https://doi.org/10.1007/s12282-010-0203-z
- Akbari ME, Khayamzadeh M, Khoshnevis S, et al (2012). Five and ten years survival in breast cancer patients mastectomies vs. breast conserving surgeries personal experience. Iranian Journal of Cancer Prevention, 1, 53-6.
- Akram M, Ullah MA, Taj R (2007). Survival analysis of cancer patients using parametric and non-parametric approaches. Pakistan Veterinary Journal, 27, 194.
- Alizadeh A, Mohammadpour RA, Barzegar MR, et al (2013). Comparing cox model and parametric models in estimating the survival rate of patients with prostate cancer on radiation therapy. Journal of Mazandaran University of Medical Sciences (JMUMS), 23.
- Altman D, De Stavola B, Love S, et al (1995). Review of survival analyses published in cancer journals. British Journal of Cancer, 72, 511. https://doi.org/10.1038/bjc.1995.364
- American Cancer Society 2014. Cancer Facts & Figures 2014. American Cancer Society (ACS) Atlanta, GA: American Cancer Society, 2014. 72 p., pdf.
- Arpino G, Bardou VJ, Clark GM, et al (2004). Infiltrating lobular carcinoma of the breast: tumor characteristics and clinical outcome. Breast Cancer Res, 6, 149-56. https://doi.org/10.1186/bcr767
- Bland JM, Altman DG (2004). The logrank test. Bmj, 328, 1073. https://doi.org/10.1136/bmj.328.7447.1073
- Bray F, Ren JS, Masuyer E, et al (2013). Global estimates of cancer prevalence for 27 sites in the adult population in 2008. International Journal of Cancer, 132, 1133-45. https://doi.org/10.1002/ijc.27711
- Carroll KJ (2003). On the use and utility of the Weibull model in the analysis of survival data. Controlled clinical trials, 24, 682-701. https://doi.org/10.1016/S0197-2456(03)00072-2
- Cox DR, Oakes D 1984. Analysis of survival data, CRC Press.
- Eccles D, Simmonds P, Goddard J, et al (2001). Familial breast cancer: an investigation into the outcome of treatment for early stage disease. Familial cancer, 1, 65-72. https://doi.org/10.1023/A:1013867917101
- Eivazi-Ziaei J, Sanaat Z, Asvadi I, et al (2013). Survival analysis of breast cancer patients in northwest Iran. Asian Pac J Cancer Prev, 14, 39-42. https://doi.org/10.7314/APJCP.2013.14.1.39
- Faradmal J, Talebi A, Rezaianzadeh A, et al (2012). Survival analysis of breast cancer patients using cox and frailty models. Journal of Research in Health Sciences, 12, 127-30.
- Ferlay J, Soerjomataram I, Ervik M, et al (2014). GLOBOCAN 2012 v1. 0, Cancer Incidence and Mortality Worldwide: IARC CancerBase No. 11. Lyon, France: International Agency for Research on Cancer; 2013. Visit: http://globocan.iarc.fr.
-
Gonzalez Angulo AM, Broglio K, Kau SW, et al (2005). Women age
${\leq}$ 35 years with primary breast carcinoma. Cancer, 103, 2466-72. https://doi.org/10.1002/cncr.21070 - Harris EE, Schultz DJ, Peters CA, et al (2000). Relationship of family history and outcome after breast conservation therapy in women with ductal carcinoma in situ of the breast. International Journal of Radiation Oncology* Biology* Physics, 48, 933-41. https://doi.org/10.1016/S0360-3016(00)00726-4
- Hashemian AH, Beiranvand B, Rezaei M, et al (2013). A comparison between cox regression and parametric methods in analyzing kidney transplant survival. World Applied Sciences Journal, 26, 502-7.
- HAYAT EA, Suner A, Burak U, et al (2010). Comparison of five survival models: Breast cancer registry data from ege university cancer research center. Turkiye Klinikleri Journal of Medical Sciences, 30, 1665-74. https://doi.org/10.5336/medsci.2009-16200
- IHME 2013. The Global Burden of Disease: Generating Evidence, Guiding Policy, University of Washington Seattle, WA, USA.
- Klein JP, Moeschberger ML 2003. Survival analysis: techniques for censored and truncated data, Springer Science & Business Media.
- Kleinbaum DG, Klein M 2011. Survival Analysis: A Self-Learning Text, Third Edition, Springer.
- Kuru B, Camlibel M, Ali Gulcelik M, et al (2003). Prognostic factors affecting survival and disease free survival in lymph node negative breast carcinomas. Journal of surgical oncology, 83, 167-72. https://doi.org/10.1002/jso.10264
- May AM, Struijk EA, Fransen HP, et al (2015). The impact of a healthy lifestyle on Disability-Adjusted Life Years: a prospective cohort study. BMC medicine, 13, 39. https://doi.org/10.1186/s12916-015-0287-6
- Moghimi-Dehkordi B, Safaee A, Pourhoseingholi MA, et al (2008). Statistical comparison of survival models for analysis of cancer data. Asian Pacific J Cancer Prev, 9.
- Movahedi M, Haghighat S, Khayamzadeh M, et al (2012). Survival rate of breast cancer based on geographical variation in Iran, a national study. Iranian Red Crescent Medical Journal, 14, 798. https://doi.org/10.5812/ircmj.3631
- Murray CJ, Vos T, Lozano R, et al (2013). Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. The lancet, 380, 2197-223.
- Nafissi N, Saghafinia M, Motamedi M, et al (2012). A survey of breast cancer knowledge and attitude in Iranian women. Journal of cancer research and therapeutics, 8, 46. https://doi.org/10.4103/0973-1482.95173
- Nardi A, Schemper M (2003). Comparing Cox and parametric models in clinical studies. Statistics in Medicine, 22, 3597-610. https://doi.org/10.1002/sim.1592
- Nelson W (2000). Weibull prediction of a future number of failures. Quality and Reliability Engineering International, 16, 23-6. https://doi.org/10.1002/(SICI)1099-1638(200001/02)16:1<23::AID-QRE283>3.0.CO;2-Q
- Pourhoseingholi M, Pourhoseingholi A, Vahedi M, et al (2011). Alternative for the cox regression model: using parametric models to analyze the survival of cancer patients. Iranian Journal of Cancer Prevention, 4, 1-9.
- Pourhoseingholi MA, Hajizadeh E, Moghimi Dehkordi B, et al (2007). Comparing Cox regression and parametric models for survival of patients with gastric carcinoma. Asian Pac J Cancer Prev, 8, 412.
- Rahimzadeh M, Baghestani AR, Gohari MR, et al (2014). Estimation of the cure rate in Iranian breast cancer patients. Asian Pac J Cancer Prev, 15, 4839-42. https://doi.org/10.7314/APJCP.2014.15.12.4839
- Ravangard R, Arab M, Rashidian A, et al (2011). Comparison of the results of Cox proportional hazards model and parametric models in the study of length of stay in a tertiary teaching hospital in Tehran, Iran. Acta Medica Iranica, 49, 650-8.
- Rezaianzadeh A, Peacock J, Reidpath D, et al (2009). Survival analysis of 1148 women diagnosed with breast cancer in Southern Iran. BMC Cancer, 9, 168. https://doi.org/10.1186/1471-2407-9-168
- Sadjadi A, Nouraie M, Mohagheghi Mohammad A, et al (2005). Cancer occurrence in Iran in 2002, an international perspective. Asian Pac J Cancer Prev, 6, 359.
- Sirott MN, Bajorin DF, Wong GY, et al (1993). Prognostic factors in patients with metastatic malignant melanoma: a multivariate analysis. Cancer, 72, 3091-8. https://doi.org/10.1002/1097-0142(19931115)72:10<3091::AID-CNCR2820721034>3.0.CO;2-V
- Taghavi A, Fazeli Z, Vahedi M, et al (2012). Increased trend of breast cancer mortality in Iran. Asian Pac J Cancer Prev, 13, 367-70. https://doi.org/10.7314/APJCP.2012.13.1.367
- Vahdaninia M, Montazeri A (2004). Breast cancer in Iran: a survival analysis. Asian Pac J Cancer Prev, 5, 223-5.
- Vallinayagam V, Prathap S, Venkatesan P (2014). Parametric regression models in the analysis of breast cancer survival data. International Journal of Science and Technology, 3, 163-7.
- Weibull W (1951). A Statistical Distribution Function of Wide Applicability. Journal of applied mechanics.
- Wilson DL (1994). The analysis of survival (mortality) data: fitting Gompertz, Weibull, and logistic functions. Mechanisms of ageing and development, 74, 15-33. https://doi.org/10.1016/0047-6374(94)90095-7
- Zaman Q, Pfeiffer KP (2012). Does Log-rank test give satisfactory results? Journal of Applied Quantitative Methods, 3.
- Zare A, Mahmoodi M, Mohammad K, et al (2013). Comparison between parametric and semi-parametric cox models in modeling transition rates of a multi-state model: application in patients with gastric cancer undergoing surgery at the Iran cancer institute. Asian Pac J Cancer Prev, 14, 6751-5. https://doi.org/10.7314/APJCP.2013.14.11.6751
- Zhu HP, Xia X, Chuan HY, et al (2011). Application of Weibull model for survival of patients with gastric cancer. BMC gastroenterology, 11, 1. https://doi.org/10.1186/1471-230X-11-1
피인용 문헌
- Survival probability and prognostic factors of Iranian breast cancer patients using cure rate model pp.1075122X, 2018, https://doi.org/10.1111/tbj.13120