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Optimal discrimination between mixed models through nature-inspired algorithms

2024-10-10

Abstract excerpt

<title>Abstract</title> <p>It is common in the optimal design literature to assume that the model has no random effects and it is known, apart from model parameters. Random effects models are widely applied across all disciplines, particularly in the life sciences and clinical studies. This paper assumes there are several plausible models and we want to find a design that optimally discriminates among models with...

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Literature Corpus work
44a5f3a1-32c2-5e37-b6cb-6e36a518468a
DOI
10.21203/rs.3.rs-5029737/v1
Open publication

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Optimal discrimination between mixed models through nature-inspired algorithmsDOI 10.21203/rs.3.rs-5029737/v1
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