Designing the future: A simple algorithm for sequential design of a generalized linear model

DOI10.1016/S0378-3758(98)00214-6zbMath0933.62075MaRDI QIDQ1300931

Donald L. McLeish

Publication date: 6 April 2000

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

zbMATH Keywords

optimal designextreme quantilesbioassay

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12) Sequential statistical design (62L05)

Related Items (1)

Sequential Optimal Design of Neurophysiology Experiments

Cites Work

• Unnamed Item
• Sequential Designs in Bioassay
• Optimum Designs in Regression Problems
• Estimation efficiency in lifetime regression models when responses are censored or grouped
• The estimation of extreme quantiles in logit bioassay
• Efficient Sequential Designs With Binary Data
• A log gamma model and its maximum likelihood estimation
• Discrimination among some parametric models
• Optimal designs for dose response experiments in cancer research
• The Sequential Generation of $D$-Optimum Experimental Designs
• Cumulative Frequency Functions

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