參考文獻 |
1. Cleveland, W.S. (1979) ”Robust Locally Weighted Regression and
Smoothing Scatterplots” Journal of the American Statistical Association,
Vol.74, No.368, pp.829-836.
2. Cox, D.R. (1972) ”Regression Models and Life-Tables.” Journal of
the Royal Statistical Society. Series B(Methodological), Vol.34, No.2,
pp.187-220.
3. Dickson, E.R., Grambsch, P.M., Fleming, T.R., Fisher, L.D. and Longworthy,
N. (1989) ”Prognosis in Primary Biliary Cirrhosis: Model for
Decision Making.” Hepatology, Vol.10, No.11, 1-7
4. Dempster, A.P., Laird, N.M. and Rubin, D.B. (1977) ”Maximum Likelihood
from Imcomplete Data via EM Algorithm” Journal of the Royal
Statistical Society. Series B(Methodological), Vol.39, No.1, pp.1-38.
5. Ding, J. and Wang, J.L. (2008) ”Modeling Longitudinal Data with
Nonparametric Multiplicative Random Effects Jointly with Survival
Data.” Biometrics, 64, 546-556
6. Dubin, J.A., M¨uller, H.G. and Wang, J.L. (2001) ”Event history
52
graphs for censored survival data.” Statistics in Medicine, 20, 2951-
2964
7. Efron, B.(1979) ”Bootstrap methods: Another look at the jackknife.”
Annual Statistician, Vol.7, No.7, pp.1-26.
8. Fleming, T.R. and Harrington, D.P. (1991) ”Counting Processes and
Survival Analysis.” New York: Weiley.
9. Goldman, A.I. (1992) ”Eventcharts:Visualizing Survival and Other
Timed-Events Data.” The American Statistician, Vol.46, No.1, pp.13-
18
10. Gong, Y., Klingenberg, S.L. and Gluud, C. (2004) ”D-penicillamine for
primary biliary cirrhosis.” Cochrane Database of Systematic Reviews,
New York: Wiley.
11. Henderson, R., Diggle, P. and Dobson, A. (2000) ”Joint modelling of
longitudinal measurements and event time data.” Biostatistics, Vol.1,
No.4, pp.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
53
13. Lee, J.J., Hess, K.R. and Dubin, J.A. (2000) ”Extensions and Applications
of Event Charts” The American Statistician, Vol.54, No.1,
pp.63-70
14. Markus, B.H., Dickson, E.R., Grambsch, P.M., Fleming, T.R., Mazzaferro,
V., Klintmalm, G.B., Wiesner, R.H., Van Thiel, D.H., and
Starzl, T.E. (1989) ”Efficiency of Liver Transplantation in Patients
With Primary Biliary Cirrhosis” New England Journal of Medicine,
Vol.320, 1709-1713
15. Murtaugh, P.A., Dickson, E.R., Van Dam, G.M., Malinchoc, M., Grambsch,
P.M., Langworthy, A.L. and Gips, C.H. (1994) ”Primary biliary
cirrhosis: prediction of short-term survival based on repeated patient
visits.” Hepatology, Vol.1 No.1, 126-134
16. Neuberger, J., Christensen, E., Portmann, B., Caballeria, J., Rodes,
J., Ranek, L., Tygstrup, N. and Williams, R.(1985) ”Double blind
controlled trial of d-penicillamine in patients with primary biliary cirrhosis.”
Gut 26,114-119
17. Silverman, B.W. (1985) ”Spline Smoothing: The Equivalant Variable
Kernel Method.” The Annals of Statistics, Vol.12, No.3, pp.898-916
54
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, pp.742-753
19. Taylor, J.M.G., Cumberland, W.G. and Sy, J.P. (1994) ”A Stochastic
Model for Analysis of Longitudinal AIDS Data.” Journal of the
American Statistical Association, Vol.89, No.427, pp.727-736
20. Taylor, J.M.G., and Law, N. (1998) ”Does the Covariance Structure
Matter in Longitudinal Modelling for the Prediction of Future CD4
Counts?” Statistics in Medicine, 17, 2381-2394
21. Tseng, Y.K., Hsieh, F. and Wang, J.L. (2005) ”Joint modelling of
accelerated failure time and longitudinal data.” Biometrika, Vol.92,
No.3, pp.587-603
22. Tsiatis, A.A. and Davidian, M. (2004) ”Joint Modeling of Longitudinal
and Time-to-Event Data: An Overview.” Statistica Sinica, 14,
809-834
23. Tsiatis, A.A., DeGruttola, V. and Wulfsohn, M.S. (1995) ”Modeling
the Relationship of Survival to Longitudinal Data Measured with Error.
Applications to Survival and CD4 Counts in Patients with AIDS”
55
Journal of the American Statistical Association, Vol.90, No.429, pp.27-
37
24. Wang, Y. and Taylor, J.M.G. (2001) ”Jointly Modeling Longitudinal
and Event Time DataWith Application to Acquired Immunodeficiency
Syndrome” Journal of the American Statistical Association, Vol.96,
No.455, pp.895-905
25. Wulfsohn, M.S. and Tsiatis, A.A. (1997) ”A Joint Model for Survival
and Longitudinal DataMeasured with Error.” Biometrics, Vol.53,
No.1, pp.330-339
26. 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, pp.835-862
27. 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 Vol.33, No.5, pp.2132-2163
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