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Journal of Biopharmaceutical Statistics Volume 25, 2015 - Issue 1
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Original Articles

A Flexible Bayesian Approach for Modeling Monotonic Dose–Response Relationships in Drug Development Trials

David OhlssenNovartis Pharmaceuticals, East Hanover, New Jersey, USACorrespondence[email protected]
&
Amy RacineNovartis Pharma AG, Basel, Switzerland
Pages 137-156 | Received 13 Jul 2012, Accepted 17 Aug 2013, Published online: 20 Jan 2015

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Read on this site (1)

Martin Otava, Ziv Shkedy, Ludwig A. Hothorn, Willem Talloen, Daniel Gerhard & Adetayo Kasim. (2017) Identification of the minimum effective dose for normally distributed data using a Bayesian variable selection approach. Journal of Biopharmaceutical Statistics 27:6, pages 1073-1088.
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Articles from other publishers (3)

Frank Fleischer, Sebastian Bossert, Qiqi Deng, Christina Loley & Jana Gierse. (2022) Bayesian MCPMod . Pharmaceutical Statistics 21:3, pages 654-670.
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Kentaro Matsuura, Junya Honda, Imad El Hanafi, Takashi Sozu & Kentaro Sakamaki. (2021) Optimal adaptive allocation using deep reinforcement learning in a dose‐response study. Statistics in Medicine 41:7, pages 1157-1171.
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A. Lawrence Gould. (2018) BMA‐Mod: A Bayesian model averaging strategy for determining dose‐response relationships in the presence of model uncertainty. Biometrical Journal 61:5, pages 1141-1159.
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