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The analysis was based on the correlation matrix, standardized and centred data, and was carried out using standard SAS/STAT procedures (SAS Institute, Cary, NC, USA).
It is based on the tangential angles of the intersections of the centred data and can be interpreted like a data depth.
Using these 216 calibration mixtures, PLS regression models were generated using the non-linear iterative partial least squares (NIPALS) algorithm (Unscrambler X, Camo, Woodbridge, NJ, USA) with mean centred data and full cross-validation.
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Final normalized datasets were used to create 3 datasets used in the analyses: (i) centred enrichment data, (ii) log2 centred enrichment data, and (iii) log2 centred Z-scored enrichment data (log2 centred data were divided by the standard deviation of the entire dataset).
Standardized Euclidean distance was applied to distinguish dissimilar soil samples from Region Centre data and other regions data.
Breastfeeding outcomes will be obtained from routinely collected Maternal and Child Health centre data and from a new data item collecting infant feeding 'in the last 24 hours'.
Breastfeeding outcomes will be obtained from routinely collected MCH centre data and from the new data item collecting infant feeding 'in the last 24 hours' at four months.
Both the VGNW and Medicare models have previously been validated using multicentre and single-centre data and found to perform acceptably with regard to discrimination and calibration.
Future studies should incorporate prospective linkage of subjective patient-centred data and objective healthcare encounter data.
With the fast development in Cloud storage technologies and ever increasing use of Cloud data centres, data privacy and confidentiality has become a must.
Multi-centre data pooling and analysis requires universal agreement relating to key measures.
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CEO of Professional Science Editing for Scientists @ prosciediting.com