Universal optimality of balanced uniform crossover designs
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Publication:1412372
DOI10.1214/aos/1056562469zbMath1028.62060OpenAlexW2117572970MaRDI QIDQ1412372
Publication date: 10 November 2003
Published in: The Annals of Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1214/aos/1056562469
Related Items (23)
Approximate and exact designs for total effects ⋮ Efficient crossover designs for comparing test treatments with a control treatment when \(p=3\) ⋮ Optimal crossover designs when carryover effects are proportional to direct effects ⋮ Optimal and efficient crossover designs for comparing test treatments with a control treatment ⋮ Some extensions of circular balanced and circular strongly balanced repeated measurements designs ⋮ Minimal circular balanced repeated measurement designs in unequal period sizes ⋮ Optimal two treatment circular repeated measurements designs up to four periods ⋮ Universally optimal balanced changeover designs with first residuals ⋮ Construction of circular partially balanced-Repeated measurement designs using cyclic shifts ⋮ Efficient crossover designs in the presence of interactions between direct and carry-over treatment effects ⋮ Optimal crossover designs for the proportional model ⋮ Crossover designs based on type I orthogonal arrays for a self and simple mixed carryover effects model with correlated errors ⋮ Extension and necessity of Cheng and Wu conditions ⋮ Universally optimal crossover designs under subject dropout ⋮ Optimal two treatment repeated measurement designs for three periods ⋮ A review of uniform cross-over designs ⋮ Crossover designs for comparing test treatments to a control treatment when subject effects are random ⋮ Circular First- and Second-Order Balanced Repeated Measurements Designs ⋮ Cyclic circular balanced and strongly balanced crossover designs through integer programming ⋮ Choosing cross-over designs when few subjects are available ⋮ Circular Strongly Balanced Repeated Measurements Designs ⋮ On uniformly balanced crossover designs efficient under subject dropout ⋮ Universal optimality of Patterson's crossover designs
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- Optimal and Efficient Repeated-Measurements Designs for Uncorrelated Observations
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