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Basic statistics in this study include standard deviation, coefficient of variability (cov), linear regression models, and the coefficient of determination [47].
We thank Mr. Yu-Jr Lin in Clinical Informatics and Medical Statistics Research Center, Chang Gung Memorial Hospital, for validating and confirming all the statistics in this study.
The statistics in this study have been calculated using MS Excel 2010 and Python (v 2.7) with the addition of SCIPY and NUMPY [48], Pandas [49], and MATPLOTLIB [50].
We are grateful to Marja Ikonen for collecting the patient samples, and for Janne Pitkäniemi PhD for his invaluable advice and comments concerning the statistics in this study.
Individual weights were used for descriptive statistics in this study.
Additional file 10 shows the medianRank statistics in this study.
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The statistics used in this study were applied to the well logging data of 85 wells around fault F1 and the corresponding oil and gas shows.
The reader may access our open MATLAB codes for GCT and for both iPDC and iDTF asymptotic statistics used in this study at http://www.lcs.poli.usp.br/~baccala/BIHExtension2014/.usp.br/~baccala/BIHExtension2014/
Of all of the statistics measured in this study, unemployed poses the most persistent challenge.
To estimate the detection power of the statistics used in this study, we performed computer simulations and found that these tests are relatively robust against the density of typed SNPs and demographic parameters if the advantageous allele has reached fixation.
A maximum level of 5% missing data at each nucleotide site within the sequence alignments was allowed in the estimation of all molecular statistics used in this study, meaning that sites above that threshold were discarded from the analyses (see next section).
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