Sentence examples for between data score and from inspiring English sources

Moreover, between the different data sources, the relationships between data score and co-complexness are different.

General linear model univariate analysis was employed to compare data between attitudinal score and each independent norminal demographic variable.

However, it is often found that the top-ranked docking poses do not represent the right binding mode, and frequently there is no correlation between docking score and biological data.

While no significant correlation was found between log-transformed data for CAC score and total CaSR expression, these data were close to significance (P = 0.07).

In contrast, data evaluating the association between CCI score and nasal MRSA carriage are scarce, and only a single report in long-term-care facility residents identified a high CCI as a significant risk factor for nasal colonization [ 29].

No other significant correlations were observed between log-transformed data for CAC score and surface CaSR expression (P = 0.87) or between log-transformed data for AAC score and total and surface CaSR expression (P = 0.49 and P = 0.67 respectively).

The relationship between the EF score and serial data was analyzed using Pearson's correlation coefficient, and that between the EF score and discrete variable data was analyzed using Spearman's rank correlation coefficient.

The data suggested a nonlinear relationship between risk score and probability of HFSR (supplemental Figure S1, available at Annals of Oncology online).

Assuming, from previous South Asian data, 19 a correlation coefficient between EPDS score and change in weight of 0.15, an SD of weight change of 400 g and an SD of 5 for EPDS scores, 100 women in each group will allow the study to detect a difference in growth of 20 g for each 1-unit increase in EPDS score.

There were no differences in efficiency scores between data envelopment analysis (DEA) and stochastic frontier analysis (SFA) techniques.

In RMA, the variance that is measured is the difference between the expected score and the actual data value.