Optimizing methylene blue adsorption conditions on hydrothermally synthesized NaX zeolite through a full two-level factorial design. [PDF]
Hadda Aya H+4 more
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Application of 32 factorial design for loratadine-loaded nanosponge in topical gel formulation: comprehensive in-vitro and ex vivo evaluations. [PDF]
Sivadasan D+9 more
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Environmentally benign liquid chromatographic method for concurrent estimation of four antihistaminic drugs applying factorial design approach. [PDF]
Ghonim R+3 more
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Beneficial adjunctive effects of the 5HT3 receptor antagonist ondansetron on symptoms, function and cognition in early phase schizophrenia in a double-blind, 2 × 2 factorial design, randomised controlled comparison with simvastatin. [PDF]
Chaudhry IB+10 more
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Groove design optimization of femoral heads in solid hip implants: Study on stress distribution and total deformation using FEA and full factorial design. [PDF]
Abdudeen A, Abu Qudeiri JE, Kareem A.
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Maximizing Curcuminoid Extraction from Curcuma aromatica Salisb. Rhizomes via Environmentally Friendly Microwave-Assisted Extraction Technique Using Full Factorial Design. [PDF]
Suksaeree J, Monton C.
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Design-Plots for Factorial and Fractional-Factorial Designs [PDF]
This chapter develops design-plots for viewing the set of run conditions for experiment designs. The emphasis is on factorial and fractional factorial designs but mixture designs nested designs and irregular designs are also presented. The fundamental concept for designs with more than two factors is to place points on a regular grid.
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Factorial Design Considerations
Journal of Clinical Oncology, 2002PURPOSE: Factorial designs may be proposed to test extra questions within a clinical trial. A common approach to sample size and analysis for factorial trials assumes no statistical interactions and does not adjust for multiple testing. This investigation considered the trade-off between potential gains from testing more questions with fewer patients ...
Stephanie Green+2 more
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AbstractIn many scientific investigations, interest lies in studying the effects of several input variables simultaneously on an output variable. Factorial experiments are ideally suited for such investigations. The importance of factorial experiments stems from the fact that such experiments allow the estimation of individual effects of the input ...
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Bayesian analysis of factorial designs.
Psychological Methods, 2017This article provides a Bayes factor approach to multiway analysis of variance (ANOVA) that allows researchers to state graded evidence for effects or invariances as determined by the data. ANOVA is conceptualized as a hierarchical model where levels are clustered within factors.
Jeffrey N. Rouder+4 more
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