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2. Two-stage Continual Reassessment Method and Patient Heterogeneity for Dose-finding Studies
3. Topics in Bayesian Design and Analysis for Sampling
4. The Limb-Leaf Design: A New Way to Explore the Dose Response Curve in Adaptive Seamless Phase II/III Trials
5. The Joint Modeling of Longitudinal Covariates and Censored Quantile Regression for Health Applications
6. Survival Analysis using Bivariate Archimedean Copulas
7. Statistical modeling and statistical learning for disease prediction and classification
8. Statistical methods for the study of etiologic heterogeneity
9. Statistical Methods for Modeling Progression and Learning Mechanisms of Neuropsychiatric Disorders
10. Statistical Methods for Modeling Biomarkers of Neuropsychiatric Diseases
11. Statistical Methods for Learning Patients Heterogeneity and Treatment Effects to Achieve Precision Medicine
12. Statistical Methods for Integrated Cancer Genomic Data Using a Joint Latent Variable Model
13. Statistical Methods for Genetic Studies with Family History of Diseases
14. Statistical Methods for Epigenetic Data
15. Statistical Methods for Constructing Heterogeneous Biomarker Networks
16. Statistical Learning Methods for Personalized Medicine
17. Statistical Learning Methods for Personalized Medical Decision Making
18. Statistical Issues in Platform Trials with a Shared Control Group
19. Statistical and Machine Learning Methods for Precision Medicine
20. Statistical analysis of large scale data with perturbation subsampling
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