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2. Functional Data Analysis and Machine Learning for High-Dimensional Structured Data
3. Statistical analysis of large scale data with perturbation subsampling
4. Statistical Methods for Learning Patients Heterogeneity and Treatment Effects to Achieve Precision Medicine
5. The Joint Modeling of Longitudinal Covariates and Censored Quantile Regression for Health Applications
6. Analysis Approaches for Wearable Device Data
7. Bayesian Modeling in Personalized Medicine with Applications to N-of-1 Trials
8. Dynamic graphical models and curve registration for high-dimensional time course data
9. Regularized Greedy Gradient Q-Learning with Mobile Health Applications
10. Statistical and Machine Learning Methods for Precision Medicine
11. Statistical Methods for Modeling Progression and Learning Mechanisms of Neuropsychiatric Disorders
12. Topics in Bayesian Design and Analysis for Sampling
13. Clustering Algorithm for Zero-Inflated Data
14. Optimal Treatment Regimes for Personalized Medicine and Mobile Health
15. Statistical Issues in Platform Trials with a Shared Control Group
16. Bayesian Modeling of Latent Heterogeneity in Complex Survey Data and Electronic Health Records
17. Functional data analytics for wearable device and neuroscience data
18. Machine Learning Methods for Personalized Medicine Using Electronic Health Records
19. Personalized Policy Learning with Longitudinal mHealth Data
20. Quantile regression for zero-inflated outcomes
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