References
- Brown, E.R., Ibrahim, J.G., DeGruttola, V. (2005). A Flexible B-spline model for multiple longitudinal biomarkers and survival. Biometrics 61:64–73.
- Cox, D.R. (1972). Regression models and life tables (with discussion). Journal of the Royal Statistical Society: Series B 34:187–220.
- Cox, D.R., Oakes, D. (1984). Analysis of Survival Data. London:Chapman and Hall.
- Ding, J., Wang, J.L. (2008). Modeling longitudinal data with nonparametric multiplicative random effects jointly with survival data. Biometrics 64:546–556.
- Henderson, R., Diggle, P., Dobson, A. (2000). Joint modeling of longitudinal measurements and event time data. Biostatistics 4:465–480.
- Hsieh, F.S., Tseng, Y.K., Wang, J.L. (2006). Joint modeling of survival and longitudinal data: Likelihood approach revisted. Boimetrics 62:1037–1043.
- Liao, J.G., We, Y., Lin, Y. (2010). Improving Sheather and Jones’ bandwidth selector for difficult densities in kernel density estimation. Journal of nonparametric statistics 22:105–114.
- Lin, D.Y., Ying, Z. (1995). Semiparametric inference for the accelerated life model with time-dependent covariates. Journal of Statistical Planning and Inference 44:47–63.
- Rizopoulos, D., Verbeke, G., Molenberghs, G. (2008). Shared parameter models under random effects misspecification. Biometrka 95: 63–74.
- Robins, J., Tsiatis, A.A. (1992). Semiparametric estimation of an accelerated failure time model with time dependent covariates. Biometrika 79:311–319.
- Sheather, J. (1991). A reliable data-based bandwidth selection method for kernel density estimation. Journal of the Royal Statistical Society: Series B 52:683–690.
- Tseng, Y.K., Hseih, F.S., Wang, J.L. (2005). Joint modeling of accelerated failure time and longitudinal data. Boimetrika 92:587–603.
- Tsiatis, A.A., Davidian, M. (2004). Joint modeling of longitudinal and time-to-event data: an overview. Statistica Sinica 14:809–834.
- Wang, Y., 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.
- Wulfsohn, M.S., Tsiatis, A.A. (1997). A joint model for survival and longitudinal data measured with error. Boimetrics 53:330–339.
- Yu, M., Law, N.J., Taylor, J. M.G., Sandler, H.M. (2004). Joint Longitudinal-Survival-Cure models and their application to prostate cancer. Statistica Sinica 14:835–862.
- Zeng, D., Lin, D.Y. (2007). Efficient estimation in the accelerated failure time model. Journal of the American Statistical Association 102:1387–1396.