Data were analyzed using the iCycler Software, and starting quantities of message levels of each gene were determined from constructed standard curves.
To investigate the potential for publication bias, we constructed standard funnel plots by visually examining their asymmetry.
Furthermore, the constructed standard curves were evaluated by amplification efficiency (E = [10 -1/slope) -1] × 100%) and square regression coefficient (R), respectively.
To enable comparison of effect estimates, we constructed standard deviation scores (SDS) [ observed value − mean)/SD] for each fatty acid concentration.
We constructed standard nutrient sets based on culture conditions reflecting experiments in glucose or glycerol minimal media and on the model's capability to use substrates.
NGAL concentrations (ng/ml) were then calculated on the basis of the constructed standard curves on respective enzyme-linked immunosorbent assay plates.
The final absorbance of each solution was read spectrophotometrically at 340 nm, and the concentrations were calculated from the constructed standard curve.
For these analyses, we constructed standard deviation score values ((observed value−mean)/SD) for the childhood outcome measures to enable comparison of effect estimates for the different outcomes.
To quantify the GM content in blind samples, after optimizing the reaction conditions, we constructed standard curves using our quadruplex real-time PCR method.
Chinn et al. (2013) noted success in helping students to co-construct standards.
