A Variational Approach to Optimal Two-Treatment Crossover Designs: Application to Carryover-Effect Models

DOI10.2307/2288488zbMath0588.62122OpenAlexW4255570297MaRDI QIDQ3716113

Eugene Laska, Morris Meisner

Publication date: 1985

Full work available at URL: https://doi.org/10.2307/2288488

zbMATH Keywords

dualsvariational methodBLUEautoregressive processwithin-subject covariancebaseline observationscarryover balanced designequicorrelated covariance structureLagrange multiplier solutionp-period crossover experimental designsrandom subject effects modelrepeated-measures model

Mathematics Subject Classification ID

Optimal statistical designs (62K05)

Related Items (13)

Modelling and optimality in the design of crossover studies for medical applications ⋮ Bayesian crossover designs for generalized linear models ⋮ Optimal crossover designs for generalized linear models ⋮ Optimal repeated measurements designs: The linear optimality equations ⋮ A general equivalence theorem for crossover designs under generalized linear models ⋮ Extension and necessity of Cheng and Wu conditions ⋮ Optimal change-over designs for correlated observations ⋮ On the Role of Baseline Measurements for Crossover Designs under the Self and Mixed Carryover Effects Model ⋮ Crossover trials with a cumulative response ⋮ Repeated measurements designs - a review ⋮ Min-max crossover designs for two treatments binary and Poisson crossover trials ⋮ Crossover designs for two-treatment clinical trials ⋮ Allocation rules for adaptive repeated measurements designs

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