The effect of small sample on optimal designs for logistic regression models

DOI10.1080/03610926.2018.1473592OpenAlexW2898319481MaRDI QIDQ5866037

S. Mehr Mansour, Mehrdad Niaparast

Publication date: 10 June 2022

Published in: Communications in Statistics - Theory and Methods (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/03610926.2018.1473592

zbMATH Keywords

biasmean square errorlogistic regression modelsmall sample sizedm-optimal criterion

Mathematics Subject Classification ID

Statistics (62-XX)

Cites Work

• Optimal Design for Nonlinear Response Models
• Design considerations for small experiments and simple logistic regression
• Computing Distributions for Exact Logistic Regression
• Experimental Design for Binary Data
• Bias reduction of maximum likelihood estimates
• Modified D-optimal design for logistic model
• Optimal designs for binary data under logistic regression
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