Results 201 to 210 of about 121,507 (253)
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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
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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
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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Factorial experimental designs
International Journal of Injury Control and Safety Promotion, 2016Intervention 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.
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