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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. Clustering Algorithm for Zero-Inflated Data
7. Data-Driven Methods for Identifying and Validating Shorter Symptom Criteria Sets: The Case for DSM-5 Substance Use Disorders
8. Design and Analysis of Sequential Multiple Assignment Randomized Trial for Comparing Multiple Adaptive Interventions
9. Dynamic graphical models and curve registration for high-dimensional time course data
10. Empirical likelihood tests for stochastic ordering based on censored and biased data
11. Flexible models and methods for longitudinal and multilevel functional data
12. Flexible Regression Models for Estimating Interactions between a Treatment and Scalar/Functional Predictors
13. Functional Data Analysis and Machine Learning for High-Dimensional Structured Data
14. Functional data analytics for wearable device and neuroscience data
15. Graph structure inference for high-throughput genomic data
16. Identifying Patterns in Behavioral Public Health Data Using Mixture Modeling with an Informative Number of Repeated Measures
17. Learning Logic Rules for Disease Classification: With an Application to Developing Criteria Sets for the Diagnostic and Statistical Manual of Mental Disorders
18. Machine Learning Methods for Personalized Medicine Using Electronic Health Records
19. Marginal Screening on Survival Data
20. Methods for functional regression and nonlinear mixed-effects models with applications to PET data
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