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Estimation of hazard function and hazard change-point for the rectal cancer data
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 Title & Authors
Estimation of hazard function and hazard change-point for the rectal cancer data
Lee, Sieun; Shim, Byoung Yong; Kim, Jaehee;
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In this research, we fit various survival models and conduct tests and estimation for the hazard change-point with the rectal cancer data. By the log-rank tests, at significance level ${\alpha}
Censored;Cox proportional hazard model;exponential distribution;hazard change-point;hazard rate function;rectal cancer;survival function;
 Cited by
모수적과 비모수적 위험률 변화점 통계량 비교,김재희;이시은;

Journal of the Korean Data and Information Science Society, 2016. vol.27. 5, pp.1253-1262 crossref(new window)
잔차 수정을 이용한 불연속 분산함수의 비모수적 추정,허집;

Journal of the Korean Data and Information Science Society, 2016. vol.27. 1, pp.111-120 crossref(new window)
Comparison of parametric and nonparametric hazard change-point estimators, Journal of the Korean Data and Information Science Society, 2016, 27, 5, 1253  crossref(new windwow)
Nonparametric estimation of the discontinuous variance function using adjusted residuals, Journal of the Korean Data and Information Science Society, 2016, 27, 1, 111  crossref(new windwow)
Ahn, J. E. (2010). Statistical analysis of biomedical data using SPSS 18.0, Hannarae Publishing, Seoul.

Collectt, D. (1994). Modelling Survival Data in Medical Research. Chapman & Hall, New York.

Cox, D. R. and Snell, E. J. (1968). A general definition of residuals. Journal of the Royal Statistical Society. Series B (Methodological), 30, 248-275.

Fleming, T. R. and Harrington, D. P. (1991). Counting processes and survival analysis. Wiley, New York.

Han, M. H. and Jeong, K. M. (1998). Estimation for change-point model of hazard rate. Korean Communications in Statistics, 477-489.

Henderson, R. (1990). A problem with the likelihood ratio test for a change-point hazard rate model. Biometrika, 77, 835-843. crossref(new window)

James, B., James, K. L. and Siegmund, D. (1987). Tests for a change-point, Biometrika, 74, 71-83. crossref(new window)

Jung, S. W., Park, J. Y., Kiim, Y. S., Jeen, Y. T., Lee, H. S., Chun, H. J., Um, S. H., Lee, S. W., Choi, J. H., Kim, C. D., Ryu, H. S. and Hyun, J. H. (2005). Survival analysis according to treatment modality in pancreatic cancer patients. Korean Journal of Gastroenterology, 46, 120-128.

Kim, J. (2009). A change-point estimator with the hazard ratio. Journal of the Korean Statistical Society, 38, 377-382. crossref(new window)

Kim, Y. J. (2013). Survival analysis, Free Academy, Seoul.

Klein, J. P. and Moeschberger, M. L. (1997). Survival analysis, Springer, New York.

Loader, C. R. (1991). Inference for a hazard rate change point. Biometrika, 78, 749-757. crossref(new window)

Maas, M., Nelemans, P. J., Valentini, V., Das, P., Rodel, C., Kuo, L.-J., Calvo, F. A., Garcia-Aguilar, J., Glynne-Jones, R., Haustermans, K., Mohiuddin, M., Pucciarelli, S., William Small, W. Jr., Suarez, J., Theodoropoulos, G., Biondo, S., Beets-Tan, R. G. and Beets, G. L. (2010). Long-term outcome in patients with a pathological complete response after chemoradiation for rectal cancer: A pooled analysis of individual patient data. Lancet Oncology, 11, 835-844. crossref(new window)

Matthews, D. E. and Farewell, V. T. (1982). On testing for constant hazard against a change-point alternative. Biometrics, 38, 463-468. crossref(new window)

Nguyen, H. T., Rogers, G. S. and Walker, E. A. (1984). Estimation in change-point hazard rate models. Biometrika, 71, 299-304. crossref(new window)

Oh, J. S. and Lee, S. Y. (2014). An extension of multifactor dimensionality reduction method for detecting gene-gene interactions with the survival time. Journal of the Korean Data & Information Science Society, 25, 1057-1067. crossref(new window)

Pettit, A. N. (1980). A simple cumulative sum type statistic for the change point problem with zero-one observations. Biometrika, 67, 79-84. crossref(new window)

Seo, M. R., Lee, E. B., Yang, W. S., Kim, S. B., Park, S. K., Lee, S. G., Park, J. S. and Hong, C. G. (2002). Survival analysis of hemodialysis patients - A single center study. Korean Society of Nephrology, 21, 636-644.

Shim, B. Y., Jung, J. H., Lee, K. M., Kim, H. J., Hong, S. H., Kim, S. H., Sun, D. S. and Cho, H. M. (2013). Glucose transporter 1 (GLUT1) of anaerobic glycolysis as laparoscopic surgery for locally advanced rectal cancer. International Journal of Colorectal Disease, 28, 375-383. crossref(new window)

Shin, S. B. and Kim, Y. J. (2014). Statistical analysis of recurrent gap time events with incomplete observation gaps. Journal of the Korean Data & Information Science Society, 25, 327-336. crossref(new window)

Worsley, K. J. (1988). Exact percentage points of the likelihood-ratio test for a change-point hazard-rate model. Biometrika, 44, 259-263.

Yao, Y. C. (1986). Maximum likelihood estimation in hazard rate models with change-point. Communications in Statistics A, 15, 2455-2466. crossref(new window)

Zhang, W., Qian, L. and Li, Y. (2014). Semiparametric sequential testing for multiple change points in piecewise constant hazard functions with long-term survivors. Communications in Statistics - Simulation and Computation, 43, 1685-1699. crossref(new window)