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2. A New Estimating Equation Based Approach for Secondary Trait Analyses in Genetic Case-control Studies
3. Bayesian Modeling for Mental Health Surveys
4. Bayesian Modeling in Personalized Medicine with Applications to N-of-1 Trials
5. Bayesian Modeling of Latent Heterogeneity in Complex Survey Data and Electronic Health Records
6. Data-Driven Methods for Identifying and Validating Shorter Symptom Criteria Sets: The Case for DSM-5 Substance Use Disorders
7. Design and Analysis of Sequential Multiple Assignment Randomized Trial for Comparing Multiple Adaptive Interventions
8. Dynamic graphical models and curve registration for high-dimensional time course data
9. Empirical likelihood tests for stochastic ordering based on censored and biased data
10. Flexible models and methods for longitudinal and multilevel functional data
11. Flexible Regression Models for Estimating Interactions between a Treatment and Scalar/Functional Predictors
12. Functional and Parametric Modeling Methods for PET Imaging Data
13. Functional Data Analysis and Machine Learning for High-Dimensional Structured Data
14. Functional data analytics for wearable device and neuroscience data
15. General Bayesian Calibration Framework for Model Contamination and Measurement Error
16. Graph structure inference for high-throughput genomic data
17. Identifying Patterns in Behavioral Public Health Data Using Mixture Modeling with an Informative Number of Repeated Measures
18. Learning Logic Rules for Disease Classification: With an Application to Developing Criteria Sets for the Diagnostic and Statistical Manual of Mental Disorders
19. Machine Learning Methods for Personalized Medicine Using Electronic Health Records
20. Marginal Screening on Survival Data
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