04995nam a22005535i 4500 978-3-031-50690-1 DE-He213 20251030112619.0 cr nn 008mamaa 240709s2024 sz | s |||| 0|eng d 9783031506901 978-3-031-50690-1 10.1007/978-3-031-50690-1 doi QH323.5 PBT bicssc MED090000 bisacsh PBT thema Statistics in Precision Health [electronic resource] : Theory, Methods and Applications / edited by Yichuan Zhao, Ding-Geng Chen. 1st ed. 2024. Cham : Springer International Publishing : Imprint: Springer, 2024. XVII, 544 p. 95 illus., 80 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda ICSA Book Series in Statistics, 2199-0999 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. 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, statistical theories, new procedures, advanced methods, and practical applications in precision medicine. Particular attention is devoted to the interplay between precision health, big data, and mobile health research, while also exploring precision medicine's role in clinical trials, electronic health record data analysis, survival analysis, and genomic studies. Targeted at data scientists, statisticians, graduate students, and researchers in academia, industry, and government, this book offers insights into the latest advances in personalized medicine using advanced statistical techniques. Biometry. 65981 Quantitative research. Medicine. 63923 Biostatistics. 65985 Data Analysis and Big Data. Clinical Medicine. Zhao, Yichuan. editor. edt http://id.loc.gov/vocabulary/relators/edt 80219 Chen, Ding-Geng. editor. edt http://id.loc.gov/vocabulary/relators/edt 80220 SpringerLink (Online service) Springer Nature eBook Printed edition: 9783031506895 Printed edition: 9783031506918 Printed edition: 9783031506925 ICSA Book Series in Statistics, 2199-0999 80221 https://doi.org/10.1007/978-3-031-50690-1 ZDB-2-SMA ZDB-2-SXMS 61439 61439