Handbook of Statistical Methods for Precision Medicine
portes grátis
Handbook of Statistical Methods for Precision Medicine
Chakraborty, Bibhas; Moodie, Erica E. M.; Laber, Eric; Laan, Mark van der; Cai, Tianxi
Taylor & Francis Ltd
10/2024
596
Dura
9781032106151
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
Preface Part 1: Study Design For Precision Medicine 1. Adaptive Designs for Precision Medicine: Fundamental Statistical Considerations 2. Small Sample, Sequential, Multiple Assignment, Randomized Trial Design and Analysis 3. Sequential Multiple Assignment Randomized Trial with Adaptive Randomization (SMART-AR) for Mobile Health Devices 4. Bayesian Dose-Finding in Two Treatment Cycles based on Efficacy and Toxicity 5. Agent-Based Modeling in Medical Research - Example in Health Economics 6. Thompson Sampling for mHealth and Precision Health Applications Part 2: Estimation of Optimal Treatment Strategies 7. Constructing and Evaluating Optimal Treatment Sequences: An Introductory Guide for Bayesians 8. Measurement Error in Adaptive Treatment Strategies 9. Nonparametric Heterogeneous Treatment Effect Estimation in Repeated Cross Sectional Designs 10. Semiparametric Doubly Robust Targeted Double Machine Learning: A Review 11. Adversarial Monte Carlo Meta-Learning of Conditional Average Treatment Effects 12. Personalized Policy Learning 13. Bandit Algorithms for Precision Medicine Part 3: Precision Medicine in High Dimensions 14. Tailoring Variable Selection and Ranking for Optimal Treatment Decisions 15. Selecting Optimal Subgroups for Treatment Using Many Covariates 16. Statistical Learning Methods for Estimating Optimal Individualized Treatment Rules from Observational Data 17. Polygenic Risk Prediction for Precision Prevention 18. Post-Selection Inference for Individualized Treatment Rules with Nonparametric Confounding Control Bibliography
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Precision Medicine;Adaptive Design;Randomized Trial Design;Modeling;Precision Health Applications
Preface Part 1: Study Design For Precision Medicine 1. Adaptive Designs for Precision Medicine: Fundamental Statistical Considerations 2. Small Sample, Sequential, Multiple Assignment, Randomized Trial Design and Analysis 3. Sequential Multiple Assignment Randomized Trial with Adaptive Randomization (SMART-AR) for Mobile Health Devices 4. Bayesian Dose-Finding in Two Treatment Cycles based on Efficacy and Toxicity 5. Agent-Based Modeling in Medical Research - Example in Health Economics 6. Thompson Sampling for mHealth and Precision Health Applications Part 2: Estimation of Optimal Treatment Strategies 7. Constructing and Evaluating Optimal Treatment Sequences: An Introductory Guide for Bayesians 8. Measurement Error in Adaptive Treatment Strategies 9. Nonparametric Heterogeneous Treatment Effect Estimation in Repeated Cross Sectional Designs 10. Semiparametric Doubly Robust Targeted Double Machine Learning: A Review 11. Adversarial Monte Carlo Meta-Learning of Conditional Average Treatment Effects 12. Personalized Policy Learning 13. Bandit Algorithms for Precision Medicine Part 3: Precision Medicine in High Dimensions 14. Tailoring Variable Selection and Ranking for Optimal Treatment Decisions 15. Selecting Optimal Subgroups for Treatment Using Many Covariates 16. Statistical Learning Methods for Estimating Optimal Individualized Treatment Rules from Observational Data 17. Polygenic Risk Prediction for Precision Prevention 18. Post-Selection Inference for Individualized Treatment Rules with Nonparametric Confounding Control Bibliography
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
