Constrict 发表于 2025-3-21 18:10:47

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训诫 发表于 2025-3-21 22:18:12

Textbook 2013amiliarity with elementary calculus, linear algebra, and basic large-sample theory to use this text. Throughout the text, authors direct readers to available code or packages in different statistical languages to facilitate implementation. In cases where code does not already exist, the authors prov

受人支配 发表于 2025-3-22 03:14:22

978-1-4899-9030-3Springer Science+Business Media New York 2013

PURG 发表于 2025-3-22 07:20:19

Statistical Methods for Dynamic Treatment Regimes978-1-4614-7428-9Series ISSN 1431-8776 Series E-ISSN 2197-5671

nocturnal 发表于 2025-3-22 12:27:39

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芳香一点 发表于 2025-3-22 15:37:18

Estimation of DTRs for Alternative Outcome Types,In this chapter, we consider the estimation of dynamic treatment regimes for a variety of outcome types, including multi-dimensional continuous outcomes, time-to-event outcomes in the presence of censoring, and discrete outcomes. Methods discussed include Q-learning, marginal structural models, and a fully parametric, likelihood-based approach.

来自于 发表于 2025-3-22 17:12:01

Additional Considerations and Final Thoughts,The statistical study of DTRs and associated methods of estimation is a young and growing field. As such, there are many topics which are only beginning to be explored. In this chapter, we point to some new developments and areas of research in the field.

mastopexy 发表于 2025-3-22 21:27:03

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abduction 发表于 2025-3-23 01:21:45

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查看完整版本: Titlebook: Statistical Methods for Dynamic Treatment Regimes; Reinforcement Learni Bibhas Chakraborty,Erica E.M. Moodie Textbook 2013 Springer Science