Statistics in Precision Health Theory, Methods and Applications /
This book discusses statistical methods and their innovative applications in precision health. It serves as a valuable resource to foster the development of this growing field within the context of the big data era. The chapters cover a wide range of topics, including foundational principles, statis...
Enregistré dans:
| Collectivité auteur: | |
|---|---|
| Autres auteurs: | , |
| Format: | Électronique eBook |
| Langue: | anglais |
| Publié: |
Cham :
Springer International Publishing : Imprint: Springer,
2024.
|
| Édition: | 1st ed. 2024. |
| Collection: | ICSA Book Series in Statistics,
|
| Sujets: | |
| Accès en ligne: | https://doi.org/10.1007/978-3-031-50690-1 |
| Tags: |
Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
|
Table des matières:
- 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.