Efficiency of observed information adaptive designs in linear models

DOI10.1016/j.jspi.2022.09.001OpenAlexW4295808637MaRDI QIDQ2095104

Adam Lane

Publication date: 9 November 2022

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.2022.09.001

zbMATH Keywords

sample sizeoptimal designadaptive design

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• OptimalDesign

Cites Work

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• A general framework for the analysis of adaptive experiments
• Random norming AIDS analysis of non-linear regression models with sequential informative dose selection
• Ancillaries and conditional inference (with comments and rejoinder)
• Some Problems Connected with Statistical Inference
• The Equivalence of Two Extremum Problems
• Conditionality resolutions
• Conditional inference and Cauchy models
• Estimation of regression equation with cauchy disturbances
• Assessing the accuracy of the maximum likelihood estimator: Observed versus expected Fisher information
• Breakdown points of t-type regression estimators
• A Review of Some Aspects of Asymptotic Likelihood Theory for Stochastic Processes
• Distribution theory following blinded and unblinded sample size re-estimation under parametric models
• Adaptive Designs for Optimal Observed Fisher Information
• Optimal Design of Experiments
• Bias induced by adaptive dose-finding designs