1 |
Nan, B., Lin, X., Lisabeth, L. D. and Harlow, S. D. (2005). A varying-coefficient Cox model for the effect of age at a marker event on age at menopause, Biometrics, 61, 576-583
DOI
ScienceOn
|
2 |
Finkelstein, D. M. and Scheonfeld, D. A. (1994). Analysing survival in the presence of an auxiliary variable, Statistics in Medicine, 13, 1747-1754
DOI
ScienceOn
|
3 |
Lee, J. W. (1994). An overview of group sequential procedures, The Korean Journal of Applied Statistics, 7, 35-51
|
4 |
Lefkopoulou, M. and Zelen, M. (1995). Intermediate clinical events, surrogate markers and survival, Lifetime Data Analysis, 1, 73-85
DOI
|
5 |
Nam, C. and Zelen, M. (2001). Comparing the survival of two groups with an intermediate clinical event, Lifetime Data Analysis, 7, 5-19
DOI
ScienceOn
|
6 |
Anderson, J. R., Cain, K. C. and Gelber, R. D. (1983). Analysis of survival by tumor response, Journal of Clinical Oncology, 1, 710-719
DOI
|
7 |
Fleming, T. R., Prentice, R. L., Pepe, M. S. and Glidden, D. (1994). Surrogate and auxiliary endpoints in clinical trials, with potential applications in cancer and AIDS research, Statistics in Medicine, 13, 955-968
DOI
ScienceOn
|
8 |
Lagakos, S. W. (1976). A stochastic model for censored-survival data in the presence of an auxiliary variable, Biometrics, 32, 551-559
DOI
ScienceOn
|
9 |
Crowley, J. and Hu, M. (1977). Covariance analysis of heart transplant survival data, Journal of the American Statistical Association, 72, 27-36
DOI
|
10 |
Lee, J. W. (1998). A study on the group sequential methods for comparing survival distributions in clinical trials, The Korean Communications in Statistics, 5, 459-475
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|
11 |
Lee, J. W. and Sather, H. N. (1995). Group sequential methods for comparison of cure rates in clinical trials, Biometrics, 51, 756-763
DOI
ScienceOn
|