Choosing cross-over designs when few subjects are available

DOI10.1016/J.CSDA.2007.05.002zbMath1452.62575OpenAlexW1986546380MaRDI QIDQ1023485

J. D. Godolphin, S. T. Bate, E. J. Godolphin

Publication date: 12 June 2009

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

Full work available at URL: https://doi.org/10.1016/j.csda.2007.05.002

zbMATH Keywords

connectivitymissing valuescarry-over effectsWilliams squarecyclic designcomplete Latin squarechange-over designdirected difference setnearly balanced squarerank reducing observation setsRussell square

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Optimal statistical designs (62K05) Orthogonal arrays, Latin squares, Room squares (05B15) Statistical block designs (62K10)

Related Items (4)

An efficient procedure for the avoidance of disconnected incomplete block designs ⋮ Contrasting Principal Stratum and Hypothetical Strategy Estimands in Multi-Period Crossover Trials with Incomplete Data ⋮ Robustness to missing observation and optimalities of response surface designs with regular and complex structure ⋮ Robust assessment of two-treatment higher-order cross-over designs against missing values

Cites Work

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• Sequences in groups with distinct partial products
• Optimality of balanced uniform repeated measurements designs
• The specification of rank reducing observation sets in experimental design
• Repeated measurements designs, II
• Universal optimality of balanced uniform crossover designs
• Optimising changeover designs using the average efficiency factors
• The construction of nearly balanced and nearly strongly balanced uniform cross-over designs
• Simple Pilot Procedures for the Avoidance of Disconnected Experimental Designs
• Row-complete latin squares of every composite order exist
• Efficient cross-over designs allowing a check on the assumption that direct and carry-over effects do not interact
• Sequential Counterbalancing in Latin Squares
• Universal Optimality for Selected Crossover Designs
• Balanced repeated measurements designs

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