References
- Breslow, N. (1974). Covariance analysis of censored survival data. Biometrics, 30, 89-99. https://doi.org/10.2307/2529620
- Cox, D. R. (1972). Regression models and life-tables. Journal of the Royal Statistical Society Series B(Methodological), 34, 187-220.
- Doh, G., Kim, S. and Kim, Y. J. (2015). Statistical analysis of economic activity state of workers with industrial injuries using a competing risk model. Journal of the Korean Data & Information Science Societys, 26, 1271-1281. https://doi.org/10.7465/jkdi.2015.26.6.1271
- Fine, J. P. and Gray, R. J. (1999). A proportional hazards model for subdistribution of a competing risk. Journal of the American Statistical Associations, 94, 496-509. https://doi.org/10.1080/01621459.1999.10474144
- Gleason, D. F. (1992). Histologic grading of prostate cancer: A perspective. Human Pathology, 23, 273-279. https://doi.org/10.1016/0046-8177(92)90108-F
- Gove, W. (1973). Sex, marital status, and mortality. American Journal of Sociology, 79, 45-67. https://doi.org/10.1086/225505
- Grambsch, P. and Therneau, T. (1994). Proportional hazards tests and diagnostics based on weighted residuals. Biometrika, 81, 515-526. https://doi.org/10.1093/biomet/81.3.515
- Heagerty, P. J. and Zheng, Y. (2005). Survival model predictive accuracy and ROC curves. Biometrics, 61, 92-105. https://doi.org/10.1111/j.0006-341X.2005.030814.x
- Iacopetta, B. (2002). Are there two sides to colorectal cancer? International Journal of Cancer, 101, 49-60.
- Kaplan, E. L. and Meier P. (1958). Nonparametric estimator from incomplete observations. Journal of the American Statistical Association, 53, 457-481. https://doi.org/10.1080/01621459.1958.10501452
- Kim, Y. and Lee, H. (2013). Estimation of lapse rate of variable annuities by using Cox proportional hazard model. Journal of the Korean Data & Information Science Society, 24, 723-736. https://doi.org/10.7465/jkdi.2013.24.4.723
- Koh, S. and Kim, J. (2010). The reasons for the increased incidence of colorectal cancer in Korea. The Korean Journal of Medicine, 79, 97-103.
- Lee, M., Cronin, K. A., Gail, M. H. and Feuer, E. J. (2012). Predicting the absolute risk of dying from colorectral cancer and from other causes using population-based cancer registry data. Statistics in Medicine, 31, 489-500. https://doi.org/10.1002/sim.4454
- Lee, S., Shim, B. and Kim, J. (2015). Estimation of hazard function and hazard change-point for the rectal cancer data. Journal of the Korean Data & Information Science Society, 26, 1225-1238. https://doi.org/10.7465/jkdi.2015.26.6.1225
- Miller, M. E., Langefeld C. D., Tierney W. M., Hui S. L. and McDonald C. J. (1993). Validation of probabilistic predictions. Medicine Decision Making, 13, 49-58. https://doi.org/10.1177/0272989X9301300107
- Ministry of Health and Welfare. (2014). Cancer registration statistics, http://ncc.re.kr/cancerStatsList.ncc?.
- National Cancer Information Center. (2014). Cancer information service: Colon cancer, http://www.cancer.go.kr/mbs/cancer/.
- National Cancer Institute. (2016). Surveillance, Epidemiology, and End Results (SEER) Program, http://seer.cancer.gov/.
- Prentice, R. L., Kalbfleisch, J. D., Peterson, A. V., Flournoy, N., Farewell, V. T. and Breslow, N. E. (1978). The analysis of failure times in the presence of competing risks. Biometrics, 34, 541-554. https://doi.org/10.2307/2530374
- Schoenfeld, D. (1982). Partial residuals for the proportional hazards regression model. Biometrika, 69, 239-241. https://doi.org/10.1093/biomet/69.1.239
- Vergouwe, Y., Steyerberg, E. W., Eukemans, M. J. and Habbema, J. D. (2002). Validity of prognostic models: When is a model clinically useful? Seminars in Urologic Oncology, 20, 96-107. https://doi.org/10.1053/suro.2002.32521
- World Health Organization. (2016). International classification of diseases, http://www.who.int/classifications/icd/en/.
Cited by
- 위암등록자료에 대한 프레일티 모형 적합 vol.29, pp.4, 2017, https://doi.org/10.7465/jkdi.2018.29.4.1037