Subject-treatment interactions in crossover trials: performance evaluation of subgrouping methods

DOI10.1016/j.jspi.2004.06.015zbMath1075.62100OpenAlexW1992096430MaRDI QIDQ1779795

Heather R. Crosby, Subir Ghosh

Publication date: 1 June 2005

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.2004.06.015

zbMATH Keywords

SimulationsCrossover designClinical trialsCritical adjacent factorGap valuesSubgroupingSubject-treatment interactions

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Design of statistical experiments (62K99) Analysis of variance and covariance (ANOVA) (62J10) Estimation in survival analysis and censored data (62N02) Testing in survival analysis and censored data (62N03)

Cites Work

• Estimating the Number of Clusters in a Data Set Via the Gap Statistic
• Bioenvironmental and public health statistics
• Inference on interactions between treatments and subjects within groups in a two-period crossover trial
• The Subject-by-Formulation Interaction as a Criterion of Interchangeability of Drugs

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