Reference
- Klein, J. P., and Moeschberger, M. L. (2005), Survival Analysis: Techniques for Censored and Truncated Data, New York: Springer-Verlag.
References
- Douc, R., Moulines, E., and Stoffer, D. (2014), Nonlinear Time Series: Theory, Methods and Applications with R Examples (1st ed.), New York: Chapman and Hall.
- Fan, J., and Yao, Q. (2003), Nonlinear Time Series: Nonparametric and Parametric Methods (1st ed.), New York: Springer.
- Priestley, M. (1988), Nonlinear and Nonstationary Time Series Analysis, New York: Academic Press.
- Shumway, R. H., and Stoffer, D. (2017), Time Series Analysis and Its Applications: With R Examples (4th ed.), New York: Springer.
- Tong, H. (1983), Threshold Models in Nonlinear Time Series Analysis (Springer Lecture Notes in Statistics), Berlin: Springer.
References
- Bornkamp, B., Pinheiro, J., and Bretz, F. (2018), DoseFinding: Planning and Analyzing Dose Finding Experiments. R Package Version 0.9-16, available at https://CRAN.R-project.org/package=DoseFinding
- Neuenschwander, B., Branson, M., and Gsponer, T. (2008), “Critical Aspects of the Bayesian Approach to Phase I Cancer Trials,” Statistics in Medicine, 27, 2420–2439.
- O’Quigley, J., Pepe, M., and Fisher, L. (1990), “Continual Reassessment Method: A Practical Design for Phase 1 Clinical Trials in Cancer,” Biometrics, 46, 33–48.
- Riviere, M.-K., Dubois, F., and Zohar, S. (2015), “Competing Designs for Drug Combination in Phase I Dose-Finding Clinical Trials,” Statistics in Medicine, 34, 1–12.
- Riviere, M.-K., Yuan, Y., Jourdan, J.-H., Dubois, F., and Zohar, S. (2016), “Phase I/II Dose-Finding Design for Molecularly Targeted Agent: Plateau Determination Using Adaptive Randomization,” Statistical Methods in Medical Research, 27, 466–479.
- Wages, N. A., and Tait, C. (2015), “Seamless Phase I/II Adaptive Design for Oncology Trials of Molecularly Targeted Agents,” Journal of Biopharmaceutical Statistics, 25, 903–920.
- Wages, N. A., and Varhegyi, N. (2017), “A Web Application for Evaluating Phase I Methods using a Non-parametric Optimal Benchmark,” Clinical Trials, 14, 553–557.
- Whitehead, J., and Williamson, D. (1998), “Bayesian Decision Procedures Based on Logistic Regression Models for Dose-Finding Studies,” Journal of Biopharmaceutical Statistics, 8, 445–467.