Optimizing parameters in clinical trials with a randomized start or withdrawal design

DOI10.1016/J.CSDA.2013.07.013zbMath1471.62222OpenAlexW2021434691WikidataQ37244770 ScholiaQ37244770MaRDI QIDQ1615177

Jingqin Luo, Feng Gao, Chengjie Xiong, John C. Morris

Publication date: 2 November 2018

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc3804275

zbMATH Keywords

Alzheimer's diseaseminimax criterionintersection-union testdisease-modifying trialsrandom intercept and slope modelsrandomized start design

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Hypothesis testing in multivariate analysis (62H15)

Uses Software

• PLCP
• SQPlab
• SAS

Cites Work

• Unnamed Item
• Random-Effects Models for Longitudinal Data
• Uniformly more powerful, one-sided tests for hypotheses about linear inequalities
• Testing Hypotheses Concerning Unions of Linear Subspaces
• Uniformly More Powerful Tests for Hypotheses Concerning Linear Inequalities and Normal Means
• Numerical optimization. Theoretical and practical aspects. Transl. from the French

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