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Six designed factors and one uncontrolled factor were initially screened in a fractional factorial design assuming a linear model.
The chapter also deals with designed factors, which are represented by a vertex of the orthorhombic volume; the space represented by this shape is often referred to as the "experimental space".
The low p value indicates that the regression model can predict Δp from the designed factors with 99.88 % confidence.
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In dynamically loaded bolted assemblies fatigue is the designing factor.
Li, J. et al. Activation domains for controlling plant gene expression using designed transcription factors.
Positive and negative regulation of endogenous genes by designed transcription factors.
Two main categories are design factors and non-design factors.
Furthermore, design factors are derived, which provide a certain probability of failure.
The application of these methods is based on easy-to-use, reliability-based design factors (RBDFs).
The design factors are discussed in detail.
Methodological heterogeneity was assessed by comparing trial design factors (randomization concealment, blinding, follow-up loss, treatment type and co-interventions).
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