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Statistical Methods for Dynamic Treatment Regimes: Reinforcement Learning, Causal Inference, and Personalized Medicine (Statistics for Biology and Health)

Bibhas Chakraborty, Erica E.M. Moodie




[PDF.ku00] Statistical Methods for Dynamic Treatment Regimes: Reinforcement Learning, Causal Inference, and Personalized Medicine (Statistics for Biology and Health)

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 | #1706481 in Books |  Springer |  2013-07-23 | Original language:English | PDF # 1 |  9.20 x.70 x6.30l,1.00 | File type: PDF | 204 pages

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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 illustration through analysis of real and simulated data. These methods are immediately applicable to the practice of personalized medicine, which is a medical para...

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