Statistical methods for dynamic treatment regimes reinforcement learning, causal inference, and personalized medicine /
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...
Main Author: | Chakraborty, Bibhas, |
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Other Authors: | Moodie, Erica E. M.,, SpringerLink (Online service) |
Format: | eBook |
Language: | English |
Published: |
New York, NY :
Springer,
2013.
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Physical Description: |
1 online resource (xvi, 204 pages) : illustrations. |
Series: |
Statistics for biology and health.
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Subjects: |
CMU Electronic Access
Electronic Resource Click HereLocation | Call Number: | Status |
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CMU Electronic Access | Available |