1 |
Yoon, T. H. (2010). Regional Health Inequalities in Korea The Status and Policy Tasks, Critical Social Welfare Academy, 30, 49-77.
|
2 |
Kaplan, E. L. and Meier, P. (1958). Nonparametric estimation from incomplete observations, Journal of the American Statistical Association, 53, 457-481.
DOI
|
3 |
Kim, M. J. (2016). Estimation methods and interpretation of competing risk regression models, The Korean Journal of Applied Statistics, 29, 1231-1246.
|
4 |
Korea Center for Disease Control and Prevention (2017). Guidelines for National Tuberculosis Control 2017. Cheongju
|
5 |
Lau, B., Cole, S. R., and Gange, S. J. (2009). Competing risk regression models for epidemiologic data, American Journal of Epidemiology, 170, 244-256.
DOI
|
6 |
Okanurak, K., Kitayaporn, D. and Akarasewi, P. (2008). Factors contributing to treatment success among tuberculosis patients: a prospective cohort study in Bangkok, International Journal of Tuberculosis and Lung Disease, 12, 1160-1165.
|
7 |
Park J. S. (2011). Increasing the Treatment Success Rate of Tuberculosis in a Private, Tuberculosis and Respiratory Diseases, 70, 143-149.
DOI
|
8 |
Prentice, R., 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.
DOI
|
9 |
Son, H.J. (2018). Current Status and Determinants of Treatment Outcomes among New Tuberculosis Patients in Republic of Korea: Achievement in Public-private mix program and challenges, Hanyang University doctoral dissertation.
|
10 |
World Health Organization (2017). Global Tuberculosis report 2017. Geneva.
|
11 |
Cox, D. R. (1972). Regression models and life tables (with discussion), Journal of the Royal Statistical Society. Series B (Methodological), 34, 187-220.
|
12 |
Falzon, D., Le Strat, Y., Belghiti, F., Infuso, A., and EuroTB correspondents (2005). Exploring the determinants of treatment success for tuberculosis cases in Europe, International Journal of Tuberculosis and Lung Disease, 9, 1224-1229.
|
13 |
Fine, J. P. and Gray, R. J. (1999). A proportional hazards model for the subdistribution of a competing risk, Journal of the American Statistical Association, 94, 496-509.
DOI
|
14 |
Gooley, T. A., Leisenring, W., Crowley, J., and Storer, B. E. (1999). Estimation of failure probabilities in the presence of competing risks: new representations of old estimators, Statistics in Medicine, 18, 695-706.
DOI
|
15 |
Kalbfleisch, J. D. and Prentice, R. L. (1980). The Statistical Analysis of Failure Time Data, John Wiley & Sons, New York.
|
16 |
Gray, R. J. (1988). A Class of K-Sample Tests for Comparing the Cumulative Incidence of a Competing Risk,Annals of Statistics, 16, 1141-1154.
DOI
|
17 |
Ha, I. D., Jeong, J. H., and Lee, Y. J. (2017). Statistical Modelling of Survival Data with Random Effects: H-likelihood Approach. Springer.
|