Sentence examples for tests we calculated from inspiring English sources

To compare individuals' performance across different tests, we calculated standardized abnormality scores, based on GLMM nullmodels, that are corrected for differences in confounding factors (e.g. age).

In a sensitivity analysis to investigate whether inclusion of highly probable cases (which was diagnosed based on abnormalities found in the chest X-ray and clinician's opinion) affected the sensitivity of the tests, we calculated the sensitivity in culture positive and negative cases separately.

For continuous variables (e.g., age, ejection fraction and the neurocognitive tests), we calculated means and standard deviations.

To evaluate the relationship between the Trinity quantitative and R&D quantitative tests, we calculated the Pearson's correlation coefficient.

In addition to significance tests, we calculated effect sizes for non-parametric data according to Cohen's formula r=z/√N'.

Using Chi-square tests, we calculated the probability for each patient of having a face-to-face contact with the general practice, receiving a prescription or being referred.

For the numerical inversion test, we calculated the true values of these hyperparameters from the true slip s t.

For hypothesis testing we calculated the annual stem volume growth at the three levels individual tree, species, and total stand.

After the trend test, we calculated the slope and standard error of the linear regression (y = fx + g) for the residual Sq amplitude that passed through the trend test.

For each test we calculated a 50% inhibitory concentration (IC50) and the IC50 values found after 48 h are: 0.4 μg/ml for L. tropica, 0.88 μg/ml for L. major and 0.62 μg/ml for L. infantum.

As part of the t test, we calculated the mean values of D for each experiment, matrix type (size and noise ratio), and possible pairs of A and B algorithms.