References
- Q. Dang, S. Anderson, L. Tan, and S. Mazumdar, Modeling unequally spaced bivariate growth curve data using a Kalman filter approach, Comm. Statist. Theory Methods 34 (2005), pp. 1821–1831. doi: 10.1081/STA-200066298
- T.R. Fleming and D.P. Harrington, Counting Process and Survival Analysis, Wiley, New York, 1991.
- R. Henderson, P.J. Diggle, and A. Dobson, Joint modelling of longitudinal measurements and event time data, Biostatistics 1 (2000), pp. 465–480. doi: 10.1093/biostatistics/1.4.465
- R. Henderson, P.J. Diggle, and A. Dobson, Identification and efficacy of longitudinal markers for survival, Biostatistics 3 (2002), pp. 33–50. doi: 10.1093/biostatistics/3.1.33
- J.P. Klein and M.L. Moeschberger, Survival Analysis, 2nd ed., Springer-Verlag, New York, 2003.
- F.S. Ko, Identification and assessment of longitudinal biomarkers using frailty models in survival analysis, Ph.D. thesis, 2006. Available at http://d-scholarship.pitt.edu/8680.
- F.-S. Ko, Using frailty models to identify the longitudinal biomarkers in survival analysis, Comm. Statist. Theory Methods 39 (2010), pp. 3222–3237. doi: 10.1080/03610920903243736
- F.-S. Ko, Using frailty models to identify the longitudinal biomarkers in survival analysis, Comm. Statist. Theory Methods 45 (2016), pp. 655–669. doi: 10.1080/03610926.2013.834454
- F.-S. Ko, The method to identify a biomarker and to evaluate its efficiency for survival by using the joint model of the accelerate failure time and longitudinal data, Comm. Statist. Theory Methods 43 (2014), pp. 72–89. doi: 10.1080/03610926.2012.655880
- F.-S. Ko, Identification of longitudinal biomarkers in survival analysis for competing risks data, Comm. Statist. Theory Methods 43 (2014), pp. 3329–3342. doi: 10.1080/03610926.2012.716135
- F.-S. Ko, Identification of longitudinal biomarkers for survival by a score test derived from a joint model of longitudinal and competing risks data, J. Appl. Stat. 41 (2014), pp. 2270–2281. doi: 10.1080/02664763.2014.909789
- Quality of life – Wikipedia, the free encyclopedia. Available at https://en.wikipedia.org/wiki/Quality_of_life.
- X. Song, M. Davidian, and A.A. Tsiatis, A semiparametric likelihood approach to joint modeling of longitudinal and time-to-event data, Biometrics 58 (2002), pp. 742–753. doi: 10.1111/j.0006-341X.2002.00742.x
- A.A. Tsiatis and M. Davidian, A semiparametric estimator for the proportional hazards model with longitudinal covariates measured with error, Biometrika 88 (2001), pp. 447–458. doi: 10.1093/biomet/88.2.447
- A.A. Tsiatis, V. DeGruttola, and M.S. Wulfsohn, Modeling the relationship of survival to longitudinal data measured with error. Applications to survival and CD4 counts in patients with AIDS, JASA 90 (1995), pp. 27–37. doi: 10.1080/01621459.1995.10476485
- C.-W. Wu, J.-M. Chiou, F.-S. Ko, S.-S. Lo, J.-H. Chen, W.-Y. Lui, and J. Whang-Peng, Quality of life after curative gastrectomy for gastric cancer in a randomised controlled trial, Br J Cancer 98 (2008), pp. 54–59. doi: 10.1038/sj.bjc.6604097
- M.S. Wulfsohn and A.A. Tsiatis, A joint model for survival and longitudinal data measured with error, Biometrics 53 (1997), pp. 330–339. doi: 10.2307/2533118