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For analysis of score data from the tightrope test, however, the non-parametric Wilcoxon-Mann Whitney test was used.
Minimal internal variance of score data between duplicate tissue cores from the same patients was detected in the tissue arrays, showing a high agreement for each protein (r > 0.95 and p < 0.0001, for each protein).
Minimal internal variance of score data between duplicate tissue cores from the same patients was detected in the tissue arrays, showing a high agreement for each protein (r>0.95 and P<0.0001).
Minimal internal variance of score data between duplicate tissue cores from the same patients was detected in TAs, showing a high agreement for each protein (r >0.95 and P<0.0001, for each protein).
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Machine learning methods in theory should be able to approach performance of human raters but they require a large quantity of scored data, proper feature representation, intensive feature engineering, and model selection.
It is noteworthy that this result was obtained without using an important resource: the information about the quality of scoring data.
Patients were divided into two sets of stable and unstable mood based on a psychiatric evaluation of an initial 6-month period of mood score data.
The fair use of test score data is one crucial step to assuring a brighter future for our youth.
The underlying assumption for the above model is normal distribution of the score data.
Cluster analysis of vacuolation score data.
Pattern of drinking score data were obtained from the 2010 Global Burden of Disease GBDD) study (see [ 20] for data on drinking pattern scores and per capita consumption by country for 2005).
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