Sentence examples for blocked regression from inspiring English sources

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The hierarchical (blocked) regression results were interpreted by examining change in R, reflecting the additional variance explained by each block of variables.

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Hierarchical (blocked) linear regression analyses revealed that time spent on Facebook was strongly and significantly negatively related to overall GPA, while only weakly related to time spent preparing for class.

Table 4 shows the NOS factors that were significant in blocked linear regression models to predict primary and secondary outcome measures in the baseline (2008) and postintervention (2010/2011) surveys.

Results of a two block regression modeling process are shown in Table  2.

As 0.5% levobupivacaine at 37°C became mildly hypobaric, it prolonged sensory block regression and motor block regression and this change in the baricity is thought to arise more from the spread of cephalin than the block.

Another means of evaluating sensory block regression is to determine the time of the sensory block at a specified dermatome level.

Taking the mean highest sensory block levels into consideration, when the number of segments involved had been compared, more segments had been seen to be involved in Group II and the sensory block regression times per segment had been shorter.

The sensory block regression time was longer in Group O than in Group Y (109.0 ± 40.2 min vs. 80.0 ± 31.6 min, p < 0.05), but motor recovery time was similar in both groups.

To test the relationship between NOS factors and our primary and secondary outcome measures, we used hierarchical blocked linear regressions, with potentially confounding variables in the first block and independent variables in the second.

Following the standard Aiken and West procedure [ 49], we conducted blocked multiple regressions and Chi-square tests to examine whether the difference in likelihood ratios between the full models including the interaction block (models -A2, -A3, -A4 and -B2, -B3, -B4 in Table  2) and the models without the interaction block (models -A1 and -B1 in Table  2) are statistically significant.

Because the FADD-DD and FADD-DD V108E mutants were equally effective at blocking tumor regression caused by etoposide, we conclude that signaling through TRAIL receptors alone is sufficient to cause these effects.

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