{
"item_title" : "Statistical Methods for Dynamic Treatment Regimes",
"item_author" : [" Bibhas Chakraborty", "Erica E. M. Moodie "],
"item_description" : "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.",
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Statistical Methods for Dynamic Treatment Regimes : Reinforcement Learning, Causal Inference, and Personalized Medicine
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Overview
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.
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Details
- ISBN-13: 9781461474272
- ISBN-10: 1461474272
- Publisher: Springer
- Publish Date: July 2013
- Dimensions: 9.2 x 6.3 x 0.7 inches
- Shipping Weight: 1 pounds
- Page Count: 204
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