參考文獻 |
[1] Dempster, A. P., Laird, N. M. and Rubin, D. B. (1977). Maximum Likelihood from Incomplete Data via the EM algorithm. Journal of the Royal Statistical Society, Series B, 39, 1-38.
[2] Brown, E. R., Ibrahim, J. G. and DeGruttola, V. (2005). A Flexible B-Spline Model for Multiple Longitudinal Biomarkers and Survival. Biometrics, 61, 64-73.
[3] Ciampi, A. and Etezadi-Amoli, J. (1985). A general model for testing the proportional hazards and the accelerated failure time hypothesis in the analysis of censored survival data with covariate. Communications in Statistics, 14, 651-667.
[4] Cox, D. R. (1972). Regression Models and Life-Tables. Journal of the Royal Statistical Society, 34, 187-220.
[5] Cox, D. R. (1975). Partial likelihood. Biometrika, 62, 269-276.
[6] Dafini, U. G. and Tsiatis, A. A. (1998). Evaluating surrogate markers of clinical outcome measured with error. Biometrics, 54, 1445-1462.
[7] Ding, J. and Wang, J. L. (2008). Modeling Longitudinal Data with Nonparametric Multiplicative Random Effects Jointly with Survival Data. Biometrics, 64, 546-556.
[8] Dubin, J. A., M¨uller, H. G. and Wang, J. L. (2001). Event history graphs for censored survival data. Statistics In Medicine, 20, 2951-2964.
[9] Efron, B. (1994). Missing data, imputation and bootstrap (with Discussion). Journal of the American Statistical Association, 89, 463-479.
[10] Efron, B., Tibshirani, R. J. (1993). An introduction to the Bootstrap. Chapman & Hall, New York.
[11] Henderson, R., Diggle, P. and Dobson, A. (2000). Joint modeling of longitudinal measurements and event time data. Biostatistics, 4, 465-480.
[12] Hsieh, F., Tseng, Y. K. and Wang, J. L. (2006). Joint Modeling of Survival and Longitudinal Data:Likelihood Approach Revisited. Biometrics, 62, 1037-1043.
[13] Kaplan, E. L. and Meier, P. (1958). Nonparametric Estimation from Incomplete Observations. Journal of the American Statistical Association, 53, 457-481.
[14] Laird, N. M. and Ware, J. H. (1982). Random-effects models for longitulongitudinaldata. Biometrics, 38, 963-974.
[15] Prentice, R. L. (1982). Covariate measurement errors and parameter estimation in failure time regression model. Biometrika, 69, 331-342.
[16] Rosner, B. (2006). Fundamentals of Biostatistics, Sixth Edition. Duxbury Press, Belmont.
[17] Schlichting, P., Christensen, E., Andersen, P., Fauerholds, L., Juhl, E., Poulsen, H. and Tygstrup, N. (1983). The Copenhagen Study Group for Liver Diseases. Hepatology, 3, 889-895.
[18] Song, X., Davidian, M. and Tsiatis, A. A. (2002). A Semiparametric Likelihood Approach to Joint Modeling of Longitudinal and Time-to-Event Data. Biometrics, 58, 742-753.
[19] Tseng, Y. K., Hsieh F. and Wang, J. L. (2005). Joint modeling of accelerated failure time and longitudinal data. Biometrika, 92, 587-603.
[20] Tsiatis, A. A. and Davidian, M. (2001). A semiparametric estimator for the proportional hazards model with longitudinal covariates measured with error. Biometrika, 88, 446-458.
[21] Tsiatis, A. A. and Davidian, M. (2004). Joint Modeling of Longitudinal and Time-to-Event Data: An Overview. Statistica Sinica, 14, 809-834.
[22] Tsiatis, A. A., DeGruttola, V. andWulfsohn, M. S. (1995). Modeling the relationship of survival to longitudinal data measured with error. Applications to survival and CD4 counts in patients with AIDS. Journal of the American Statistical Association, 90, 27-37.
[23] Wang, Y. and Taylor, J. M. G. (2001). Jointly Modeling Longitudinal and Event Time Data With Application to Acquired Immunodeficiency Syndrome. Journal of the American Statistical Association, 96, 895-905.
[24] Wulfsohn, M. S. and Tsiatis, A. A. (1997). A joint model for survival and longitudinal data measured with error. Biometrics, 53, 330-339.
[25] Yu, M., Law, N. J., Taylor, J. M. G. and Sandler, H. M. (2004). Joint longitudinal-survival-cure models and their application to prostate cancer. Statistica Sinica, 14, 835-862.
[26] Zeng, D. and Cai, J. (2005). Asymptotic Results for Maximum Likelihood Estimators in Joint Analysis of Repeated Measurements and Survival Time. The annals of Statistics, 33(5), 2132-2163.
|