In addition, students' seismological skills and their ability to work with multiple representations of data were assessed through hands-on skills assessments conducted in individual sessions with an experimenter.
The data were assessed through use of 2-tailed nonparametric paired and unpaired analysis, descriptive statistics, and power analysis of the data.
ConTra's ability to process high volume of data was assessed through an experimental approach.
The outcome data was assessed through structured physician-conducted interviews.
The quality of the arrays data was assessed through affyQCReport [ 66].
The Venn Diagram was generated using the online Venny tool [ 70] The correlation between the microarray and qRT-PCR data was assessed through Pearson's moment correlation analysis.
Correlations between RNA-seq and RT-qPCR data were assessed through multiple linear regression, which obtained the coefficient of determination (R) and p-value.
Validity of the collected data was assessed through the percentage of microscopically (histologically) verified cancers (MV%) and the percentage of cancers certified only after death (DCO%) [ 10]; completeness was assessed through the mortality/incidence ratio (M/I) [ 11] (Table 1).
The factorability of data was assessed through the Kaiser Meyer Olkin measure of sampling adequacy (KMO), which should be above 0.6 (30), and Bartlett's test of sphericity (31) to be significant (p≤0.05).
Data quality was assessed through completeness of data and floor/ceiling effects using the 15% criterion by McHorney [ 18].
