Results 201 to 210 of about 127,202 (251)

Factorial Design Considerations

Journal of Clinical Oncology, 2002
PURPOSE: 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
openaire   +2 more sources

Factorial Designs

2021
This chapter moves on from simple ‘one-way’ designs to more complex factorial designs. It extends the simple linear model to include interactions as well as average main effects. Interactions are assessed relative to a null additive expectation where the treatments have no effect on each other.
Bibhas Chakraborty, Palash Ghosh
openaire   +2 more sources

Design-Plots for Factorial and Fractional-Factorial Designs

Journal of Quality Technology, 1998
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.
openaire   +1 more source

Factorial experimental designs

International Journal of Injury Control and Safety Promotion, 2016
Intervention studies are typically performed as ‘experiments,’ in the sense that a single ‘factor’ is allowed to vary while the others are held constant or accounted for in the analyses.
openaire   +2 more sources

Factorial design

2023
Electra Nassis, Lauren Gruffi
  +4 more sources

Factorial Designs

Journal of the Operational Research Society, 1982
G. H. Freeman   +3 more
  +5 more sources

Factorial designs

WIREs Computational Statistics, 2011
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 ...
openaire   +1 more source

Development and Evaluation of Cannabidiol Orodispersible Tablets Using a 23-Factorial Design

Pharmaceutics, 2022
Nicoleta Todoran   +2 more
exaly  

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