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Statistical inference problems in sequential parallel comparison design
Journal of Biopharmaceutical Statistics, 2019The sequential parallel comparison designhas recently been considered to solve the problem with high placebo response and the required sample size in the psychiatric clinical trials. One feature with this design is that a difference between the placebo group and the drug group may also arise in the variance-covariance structure of the clinical outcome.
Yifan, Cui +2 more
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Bioresource Technology, 2008
The sequential statistical experimental design (Plackett-Burman, factorial, response surface and steepest ascent experiment) was applied to optimize the culture medium of nitrite oxidizing bacteria for improving the nitrite oxidizing rate. Estimated optimum medium composition of the nitrite oxidizing rate was as follows: NaHCO3, 1.86gl(-1); NaNO2, 2 ...
Jie, Ren +5 more
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The sequential statistical experimental design (Plackett-Burman, factorial, response surface and steepest ascent experiment) was applied to optimize the culture medium of nitrite oxidizing bacteria for improving the nitrite oxidizing rate. Estimated optimum medium composition of the nitrite oxidizing rate was as follows: NaHCO3, 1.86gl(-1); NaNO2, 2 ...
Jie, Ren +5 more
openaire +4 more sources
Sequential statistical design strategy in an experimental kinetic study
The Canadian Journal of Chemical Engineering, 1972AbstractThe value of using a sequential statistical design strategy is illustrated through its use in an experimental kinetic study of the oxidation of o‐xylene over a vanadium oxide catalyst. The rate of oxidation of o‐xylene was determined in a differential reactor over the following ranges of conditions: 270 to 300°C, (0.5 to 3.5) x 10‐4g.mole o ...
J. A. Juusola, D. W. Bacon, J. Downie
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Process Biochemistry, 2001
Abstract Sequential statistical experimental designs (Plackett–Burman, factorial, response surface and ridge analysis) were used to improve the medium for the production of Echinocandin B (ECB) by Aspergillus nidulans . Special attention is given to the ridge analysis, a search and optimization technique which can be applied to second-order models ...
A.R. Cockshott, Gary R. Sullivan
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Abstract Sequential statistical experimental designs (Plackett–Burman, factorial, response surface and ridge analysis) were used to improve the medium for the production of Echinocandin B (ECB) by Aspergillus nidulans . Special attention is given to the ridge analysis, a search and optimization technique which can be applied to second-order models ...
A.R. Cockshott, Gary R. Sullivan
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Structural and Multidisciplinary Optimization, 2019
The present study explores reliability-based design optimization (RBDO) using multi-objective genetic algorithm (MOGA) in the context of practical engineering design. The reliability analysis is carried out using a most probable point-based method with first-order sensitivities.
Juhee Lim +4 more
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The present study explores reliability-based design optimization (RBDO) using multi-objective genetic algorithm (MOGA) in the context of practical engineering design. The reliability analysis is carried out using a most probable point-based method with first-order sensitivities.
Juhee Lim +4 more
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Rejoinder to “Statistical inference problems in sequential parallel comparison designs”
Journal of Biopharmaceutical Statistics, 2019In this rejoinder the authors stipulate further for two challenging issues. First, if placebo non-responders are selected simply by their response meeting a threshold, this selection may have misclassification error and consequently the treatment effect estimate may be biased, regardless of whether the estimand at the second stage is the treatment ...
Yifan, Cui +2 more
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Comparison of Test Statistics for the Sequential Parallel Design
Statistics in Biopharmaceutical Research, 2010The sequential parallel design has been proposed to improve the efficiency of clinical trials in psychiatry. The design randomizes patients into three treatment groups. Each group has two phases. The three groups are (1) placebo in the first phase followed by placebo in the second phase, (2) placebo in the first phase followed by drug in the second ...
Xiaohong Huang, Roy N. Tamura
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A commentary on: statistical inference problems in sequential parallel comparison designs
Journal of Biopharmaceutical Statistics, 2019A Sequential Parallel Comparison Design has two stages, the first comparing drug to placebo and the second comparing drug to placebo among patients who did not respond to placebo in the first stage. The paper, Statistical Inference Problems in Sequential Parallel Comparison Designs, claims that the estimate of the treatment difference in the second ...
David Alan, Schoenfeld +2 more
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