Optimal Experimental Design Strategies for Detecting Hormesis
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Abstract
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DOI: 10.1111/j.1539-6924.2011.01625.x
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References listed on IDEAS
- Pronzato, Luc, 2009. "Asymptotic properties of nonlinear estimates in stochastic models with finite design space," Statistics & Probability Letters, Elsevier, vol. 79(21), pages 2307-2313, November.
- Daniel L. Hunt & Dale Bowman, 2004. "A Parametric Model for Detecting Hormetic Effects in Developmental Toxicity Studies," Risk Analysis, John Wiley & Sons, vol. 24(1), pages 65-72, February.
Citations
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Cited by:
- Steven Kim & Jeffrey Wand & Christina Magana‐Ramirez & Jenel Fraij, 2021. "Logistic Regression Models with Unspecified Low Dose–Response Relationships and Experimental Designs for Hormesis Studies," Risk Analysis, John Wiley & Sons, vol. 41(1), pages 92-109, January.
- Steven B Kim & Dong Sub Kim & Christina Magana-Ramirez, 2021. "Applications of statistical experimental designs to improve statistical inference in weed management," PLOS ONE, Public Library of Science, vol. 16(9), pages 1-21, September.
- Regina G Belz & Hans-Peter Piepho, 2012. "Modeling Effective Dosages in Hormetic Dose-Response Studies," PLOS ONE, Public Library of Science, vol. 7(3), pages 1-10, March.
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