Optimal designs for treatment-control comparisons in the presence of two- way heterogeneity
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Publication:1062398
DOI10.1016/0378-3758(85)90053-9zbMath0572.62061OpenAlexW2055756982MaRDI QIDQ1062398
Publication date: 1985
Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/0378-3758(85)90053-9
balanced treatment block designA-optimaladditive 3 factor linear modelcontrol contrastsE-optimalLatin square design
Related Items (8)
Optimal designs for comparisons between two sets of treatments ⋮ Model robust optimal designs for comparing test treatments with a control ⋮ E- and R-optimality of block designs for treatment-control comparisons ⋮ Optimal approximate designs for comparison with control in dose-escalation studies ⋮ Row-column designs for comparing treatments with a control ⋮ Some optimal designs for comparing a set of test treatments with a set of controls ⋮ Bayesian optimal experimental design for treatment-control comparisons in the presence of two-way heterogeneity ⋮ Optimal designs for treatment comparisons represented by graphs
Cites Work
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- General equivalence theory for optimum designs (approximate theory)
- Balanced block designs and generalized Youden designs. I: Construction (patchwork)
- Optimal incomplete block designs for comparing treatments with a control
- On the Nonrandomized Optimality and Randomized Nonoptimality of Symmetrical Designs
- Balanced Treatment incomplete block (BTIB) designs for comparing treatments with a control: minimal complete sets of generator designs for k = 3, p = 3(1)10
- Incomplete Block Designs for Comparing Treatments with a Control: General Theory
- $F$-Square and Orthogonal $F$-Squares Design: A Generalization of Latin Square and Orthogonal Latin Squares Design
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