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A clinical trial loses access to some of its experimental treatment conditions: What can be done? [PDF]
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The New Statistics with R, 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
semanticscholar +4 more sources
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
semanticscholar +4 more sources
Designing Experiments for the Social Sciences: How to Plan, Create, and Execute Research Using Experiments, 2002
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Wordlength enumerator for fractional factorial designs
, 2021While the minimum aberration criterion is popular for selecting good designs with qualitative factors under an ANOVA model, the minimum $\beta$-aberration criterion is more suitable for selecting designs with quantitative factors under a polynomial model.
Yu Tang, Hongquan Xu
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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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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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