Statistics in Precision Health

Part I An Overview of Precision Health in the Big Data Era. -
Overview of Precision Health: Past, Current, and Future. - A Selective Review of Individualized Decision Making. - Utilizing Wearable Devices to Improve Precision in Physical Activity Epidemiology: Sensors, Data and Analytic Methods. - Policy Learning for Individualized Treatment Regimes on Infinite Time Horizon. - Q-Learning Based Methods for Dynamic Treatment Regimes. - Personalized Medicine with Multiple Treatments. - Statistical Reinforcement Learning and Dynamic Treatment Regimes. -
Part II New Advances in Statistical Methods of Precision Medicine and the Applications. -
Integrative Learning to Combine Individualized Treatment Rules from Multiple Randomized Trials. - Adaptive Semi-supervised Learning for Optimal Treatment Regime Estimation with Application to EMR Data. - Estimation and Inference for Individualized Treatment Rules Using Efficient Augmentation and Relaxation Learning. - Subgroup Analysis Using Doubly Robust Semiparametric Procedures. - A Selective Overview of Fusion Penalized Learning in Latent Subgroup Analysis for Precision Medicine. -
Part III Precision Medicine in Clinic Trials and the applications to EHR Data. -
Mining for Health: A Comparison of Word Embedding Methods for Analysis of EHRs Data. - Adaptive Designs for Precision Medicine in Clinical Trials: A Review and Some Innovative Designs. - Maximum Likelihood Estimation and Design and Inference Considerations for Sequential Multiple Assignment Randomized Trials. - Precision Medicine Designs for Cancer Clinical Trials. -
Part IV Precision Medicine in Survival Analysis and Genomic Studies. -
Variant Selection and Aggregation of Genetic Association Studies in Precision Medicine. - Leveraging Functional Annotations Improves Cross-population Genetic Risk Prediction. - A Soft-Thresholding Operator for Sparse Time-Varying Effects in Survival Models. - Discovery of Gene-specific Time Effects on Survival. - Modeling and Optimizing Dynamic Treatment Regimens in Continuous Time.