Considering data analysis results, the combinations enabling an increase in R for each flour type were identified: for strong flour (RT = 45min, TG = 0.2%, VG = 1%), medium flour (RT = 45min, TG = 0.1%, VG>1%) and weak flour (RT = 45min, TG>0.2%, VG>1%).
Considering data analysis in this comprehensive manner is supported by the evidence observed in several applications of expression quantitative trait loci (eQTLs), including in inflammatory disease (BES), T2D (Judy Zhong, New York University Medical School), and coronary artery disease (JB).
DOI: http://dx.doi.org/10.7554/eLife.06481.008 A second analysis considered data from each subject separately, with a separate regression analysis for similar and dissimilar task pairs in each ROI.
On the basis of a well-considered data analysis of potential-dependent Impedance Measurements, it is possible to estimate the interfacial characteristics (apparent flatband potential, Vfb, and density of multiple donor levels in the space charge region, Nsc).
In addition to a robust laboratory protocol and, preferably, automated rather than manual sample processing, a well-considered data analysis workflow that includes proper procedures for data interpretation and handling is essential to the generation of high quality, error-free mtDNA data for forensic genetic or other purposes.
Statistical analysis considered data clustering due to multiple lesions per patient.
Specifically, analysis considered data in the context of trust, familiarity, confidence and risk.
This analysis considered data from adjacent pairs of trials from early and late stages of the same session.
The outcome in the final analysis considered data quality, that is, whether or not children providing diaries were classified as an under-reporter or not.
- In these cases, we used the most recent data for most aspects of the analysis but considered data from both years to analyze trends.
