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2. The Limb-Leaf Design: A New Way to Explore the Dose Response Curve in Adaptive Seamless Phase II/III Trials
3. Flexible models and methods for longitudinal and multilevel functional data
4. Regression based principal component analysis for sparse functional data with applications to screening pubertal growth paths
5. Sparse functional regression models: minimax rates and contamination
6. Sparse selection in Cox models with functional predictors
7. On Compositional Data Modeling and Its Biomedical Applications
8. On Wavelet-Based Methods for Scalar-on-Function Regression
9. Sample Size Calculation Based on the Semiparametric Analysis of Short-term and Long-term Hazard Ratios
10. Empirical likelihood tests for stochastic ordering based on censored and biased data
11. Graph structure inference for high-throughput genomic data
12. Identifying Patterns in Behavioral Public Health Data Using Mixture Modeling with an Informative Number of Repeated Measures
13. Sequential Designs for Individualized Dosing in Phase I Cancer Clinical Trials
14. Sequential Quantile Estimation Using Continuous Outcomes with Applications in Dose Finding
15. Statistical modeling and statistical learning for disease prediction and classification
16. Two-stage Continual Reassessment Method and Patient Heterogeneity for Dose-finding Studies
17. A New Estimating Equation Based Approach for Secondary Trait Analyses in Genetic Case-control Studies
18. Learning Logic Rules for Disease Classification: With an Application to Developing Criteria Sets for the Diagnostic and Statistical Manual of Mental Disorders
19. Methods for handling measurement error and sources of variation in functional data models
20. Survival Analysis using Bivariate Archimedean Copulas
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