Beran, R. (1981). Nonparametric regression with randomly censored survival data. Technical Report, University of California, Berkeley.
Berman, S.-M. (1963). Note on extreme values, competing risks and semi-Markov processes. Annals of Mathematical Statistics 34:1104-1106.
Braekers, R.,Veraverbeke,N. (2005). Acopula-graphic estimator for the conditional survival function under dependent censoring. Canadian Journal of Statistics 33:429-447. (Pubitemid 41616765)
Chen, X., Linton, O., Van Keilegom, I. (2003). Estimation of semiparametric models when the criterion function is not smooth. Econometrica 71:1591-1608.
Chen, Y.-H. (2012). Maximum likelihood analysis of semicompeting risks data with semiparametric regression models. Lifetime Data Analysis 18:36-57.
Ding, A.-A., Shi, G., Wang, W., Hsieh, J.-J. (2009). Marginal regression analysis for semicompeting risks data under dependent censoring. Scandinavian Journal of Statistics 36:481-500.
Fine, J.-P., Jiang, H., Chappell, R. (2001). On semicompeting risks. Biometrika 88:907-919.
Jiang, H., Fine, J.-P., Kosorok, R., Chappell, R. (2005). Pseudo self-consistent estimation of a copula model with informative censoring. Scandinavian Journal of Statistics 33:1-20. (Pubitemid 40322550)
Lakhal, L. (2006). Estimation de la d́ependance et des lois marginales dans des mod̀eles pour l'analyse des duŕees de vies multidimensionnelles. Ph. D. dissertation, Universit́e Laval.
Lakhal, L., Rivest, L.-P., Abdous, B. (2008). Estimating survival and association in a semicompeting risks model. Biometrics 64:180-188. (Pubitemid 351316881)
Laurent, S. (2011). Estimating the survival functions in a censored semi-competing risks model. Techninal report, Universit́e de Lìege.
Lin, D. and Ying, Z. (1993). A simple nonparametric estimator of the bivariate survival function under univariate censoring. Biometrika 80:573-582.
Nelsen, R.-B. (2005). Dependence modeling with Archimedean copulas. In: Kolev, N., Morettin, P., eds. Proceedings of the Second Brazilian Conference on Statistical Modelling in Insurance and Finance. S̃ao Paulo: Institute of Mathematics and Statistics, University of S̃ao Paulo, pp. 45-54.
Oakes, D. (1989). Bivariate survival models induced by frailties. Journal of the American Statistical Association 84:487-493.
Pintilie, M. (2006). Competing risks: a practical perspective. Wiley, Chichester.
Prentice, R.-L., Kalbfleisch, J.-D., Peterson, A.-V., Flournoy, N., Farewell, V.-T., Breslow, N.-E. (1978). The analysis of failure times in the presence of competing risks. Biometrics 34:541-554.
Rivest, L.,Wells,M.-T. (2001). Amartingale approach to the copula-graphic estimator for the survival function under dependent censoring. Journal of Multivariate Analysis 79:138-155. (Pubitemid 33082676)
Xu, J., Kalbfleisch, J.-D., Tai, B. (2010). Statistical analysis of illness-death processes and semicompeting risks data. Biometrics 66:716-725.
Zeng, D., Lin,D. Y. (2006). Efficient estimation of semiparametric transformation models for counting processes. Biometrika 93:627-640. (Pubitemid 44599855)
