\(D\)-optimal designs for the two-variable binary logistic regression model with interaction

DOI10.1016/j.jspi.2017.08.007zbMath1377.62161OpenAlexW2752549241MaRDI QIDQ1681056

Gaëtan M. Kabera, Principal Ndlovu, Linda M. Haines

Publication date: 17 November 2017

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2017.08.007

zbMATH Keywords

interaction\(D\)-optimalitybinary logistic modelproof-of-concept

Mathematics Subject Classification ID

Optimal statistical designs (62K05) Generalized linear models (logistic models) (62J12)

Related Items (2)

Design admissibility and de la Garza phenomenon in multifactor experiments ⋮ Locally optimal designs for gamma models

Cites Work

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• A note on the construction of locally \(D\)- and \(D_S\)-optimal designs for the binary logistic model with several explanatory variables
• Experimental designs for drug combination studies
• Optimal designs for generalized linear models with multiple design variables
• The analytic construction ofD-optimal designs for the two-variable binary logistic regression model without interaction
• An extension of the General Equivalence Theorem to nonlinear models
• Locally Optimal Designs for Estimating Parameters

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