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