Statistical Methods for Dynamic Treatment Regimes Reinforcement Learning, Causal Inference, and Personalized Medicine /

• Main Authors: Chakraborty, Bibhas. (Author), Moodie, Erica E.M. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2013.
• Series: Statistics for Biology and Health,
• Subjects: Statistics.; Medical records > Data processing.; Statistics for Life Sciences, Medicine, Health Sciences.; Statistics, general.; Health Informatics.
• Online Access: https://ezaccess.library.uitm.edu.my/login?url=http://dx.doi.org/10.1007/978-1-4614-7428-9

Statistical Methods for Dynamic Treatment Regimes shares state of the art of statistical methods developed to address questions of estimation and inference for dynamic treatment regimes, a branch of personalized medicine. This volume demonstrates these methods with their conceptual underpinnings and...

Table of Contents:

• Introduction
• The Data: Observational Studies and Sequentially Randomized Trials
• Statistical Reinforcement Learning
• Estimation of Optimal DTRs by Modeling Contrasts of Conditional Mean Outcomes
• Estimation of Optimal DTRs by Directly Modeling Regimes
• G-computation: Parametric Estimation of Optimal DTRs
• Estimation DTRs for Alternative Outcome Types
• Inference and Non-regularity
• Additional Considerations and Final Thoughts
• Glossary
• Index
• References.