|
[1] Berkson, J., and Gage, R.P. (1952), “Survival Curve for Cancer Patients Following Treatment,” Journal of the American Statistical Association, 47, 501-515. [2] Chen, M., Ibrahim, J., and Sinha, D. (1999), “A New Bayesian Model for Survival Data with a Surviving Fraction,” Journal of the American Statistical Association, 94, 909-919. [3] Chen, S., and Zhou, L. (2007), “Local Partial Likelihood Estimation in Proportional Hazards Regression,” The Annals of Statistics, 35, 888–916. [4] Copelan, E.A., Biggs, J.C., Thompson, J.M., Crilley, P., Szer, J., Klein, J.P., Kapoor, N., Avalos, B.R., Cunningham, I., Atkinson, K., Downs, K., Harmon, G.S., Daly, M.B., Brodsky, I., Bulova, S.I., and Tutschka, P. (1991), “Treatment for Acute Myelocytic Leukemia with Allogeneic Bone Marrow Transplantation Following Preparation with Bu/Cy”. Blood, 78, 838-843. [5] Cox, D.R. (1972), “Regression models and life-tables (with discussion),” Journal of the Royal Statistical Society, Series B, 34, 187-220. [6] Fan, J. and Gijbels, I. (1996), Local Polynomial Modelling and Its Applications, London: Chapman and Hall. [7] Fan, J. ,Gijbels, I. and King, M. (1997), “Local Likelihood and Local Partial Likelihood in Hazard Regression,” The Annals of Statistics, 25, 1661-1690. [8] Fan, J., Farmen, M. and Gijbels, I. (1998), “Local Maximum Likelihood Estimation and Inference,” Journal of the Royal Statistical Society, Series B, 60, 591-608. [9] Fan, J. , Lin, H. and Zhou, Y. (2006) “Local Partial Likelihood Estimation For Lifetime Data,” The Annals of Statistics, 34, 290–325. [10] Farewell, V. (1982). “The Use of Mixture Models for the Analysis of Survival Data with Long-Term Survivors”. Biometrics, 38, 1041– 1046. [11] Feng, C., Wang, H., Chen, T., and Tu, X. (2014), “On Exact Forms of Taylor’s Theorem for Vector-Valued Functions”. Biometrika, 4, 1003. [12] Kuk, A.Y.C. and Chen, C.H. (1992), “A Mixture Model Combining Logistic Regression with Proportional Hazards Regression,” Biometrika 79, 531–541. [13] Devroye, L. (1986) Non-Uniform Random Variate Generation, New York:Springer. [14] Loader, C. (1999), Local Regression and likelihood, New York:Springer. [15] Lu, W. and Ying, Z. (2004), “On Semiparametric Transformation Cure Models,” Biometrika 91, 331–343. [16] Lu, W., Pang, D., and Hua, L. (2012), “Two-Component Mixture Cure Rate Model with Spline Estimated Nonparametric Components,” Biometrics 68, 726–735. [17] Fitzpatrick, P. (2006), Advanced Calculus, 2nd, California:Thomson Brooks / Cole. [18] Klein, J.P. and Moeschberger M.L. (1997), Survival Analysis Techniques for Censored and Truncated Data. New York:Springer. [19] Tsodikov, A. (1998a), “A Proportional Hazards Model Taking Account of Long-Term Survivors”. Biometrics, 54, 1508-1516. [20] Tsodikov, A. (1998b) “A Cure Model with Time-Changing Risk Factor: an Application To The Analysis of Secondary Laukaemia,” Statistics In Medicine, 17, 27-40. [21] Tibshirani, R. and Hastie, T. (1987), “Local Likelihood Estimation,” Journal of the American Statistical Association, 82, 559-567. [22] Tsodikov, A.D., Tsodikov, J.G., Ibrahim, J.,and Yakovlev A.Y. (2003), “Estimating Cure Rates from Survival Data: An Alternative to Two-Component Mixture Models,” Journal of the American Statistical Association, 98, 1063-1078. [23] Yakovlev, AY., Asselain, B., Bardou, VJ., Fourquet, A., Hoang, T., Rochefordiere, A., and Tsodikov, A.D. (1993), “A Simple Stochastic Model of Tumor Recurrence and Its Application to Data on Premenopausal Breast Cancer,” J.,editors. Biometrie et Analyse de Donnees Spatio-Temporelles, 12, 66-82. [24] Yakovlev, A.Y., and Tsodikov, A.D. (1996), “Stochastic Models of Tumor Latency and their Biostatistical Application,” Hackensack, NJ: World scientific. [25] Zeng, D., Yin, G. and Ibrahim, J.G. (2006), “Semiparametric Transformation Models for Survival Data with a Cure Fraction,” Journal of the American Statistical Association, 101, 670-684. |