Sentence examples for main effect b from inspiring English sources

Open image in new window Fig. 7 Molecular weight and NaCl concentration a main effect, b interaction effect.

Open image in new window Fig. 5 Sulfonation degree and NaCl concentration a main effect, b interaction effect.

Open image in new window Fig. 4 NaCl concentration and shear rate a main effect, b interaction effect.

Open image in new window Fig. 2 Polymer concentration and shear rate a main effect, b interaction effect.

Open image in new window Fig. 3 Sulfonation degree and shear rate a main effect, b interaction effect.

However, these effects disappeared (main effect: B = 0.00, p =.985; interaction: B = −0.00, p =.673) when adjusting for ACD symptoms; indicating that the association between CD and early social understanding was fully accounted for by the ACD symptoms.

We considered a range of minor allele frequencies (p A = 0.1, 0.25), genetic main effects (b G = 0, log(1.3)), environmental main effects (b E = 0, log(1.3)), and G-E interaction effects (b E G = 0, log(1.1), log(1.2), log(1.3)).

We consider true penetrance models based on the log odds of disease: (1) b G represents an additive genetic main effect with b G D its deviation from additivity, hereafter referred to as dominance deviance; b E represents an environmental main effect; and b E G represents an additive G-E interaction effect with b EG D its dominance deviance.

The main effect of B ∥ is the shift of the harmonic oscillator center in Equation 8 by the value ℓ ⊥ 2 ℓ ∥ 2 z ν [7], where z ν = ∫ d z ϕ ν z 2 z is the average value of the electron coordinate along the z axis in the νth subband state: f ν, n y, z = ϕ ν z Φ n y − ℓ ⊥ 2 ℓ ∥ 2 z ν. (11).

Two types of DIF are identified: (a) uniform DIF demonstrating that the effect of the term in which the exam was taken are the same across all class intervals (main effect), and (b) non-uniform DIF which demonstrates that the effect of which term the student sat the exam in is different across class intervals (interaction effect).

We assembled a data set of 12.5 million Medicare enrollees (≥ 65 years of age) to determine which PM2.5 constituents are a) associated with mortality controlling for previous-year PM2.5 total mass (main effect); and b) elevated in locations exhibiting stronger associations between previous-year PM2.5 and mortality (effect modification).