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A dyadic multilevel analysis showed that preparation prior to collaborating led to better deep learning outcomes, but that the type of preparation did not have a significant effect.
The multilevel analysis showed that 2% of the variance could be attributed the municipality level.
Multilevel analysis showed that the previous results remained with the adjustment for the effect of the participating hospital.
Multilevel analysis showed significant spatial variations between villages in seeking treatment for sick children in Matlab, Bangladesh (10).
Multilevel analysis showed that variance in direct medical costs was not determined by differences between hospitals or hospital departments.
Multilevel analysis showed that the previous results remained after adjusting for the effect of the participating hospital.
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The multilevel analysis shows that the hp-MGS algorithm has excellent convergence rates, both for steady state and time-dependent problems, and low and high cell Reynolds numbers, including highly stretched meshes.
The multilevel analysis shows that 44% (ICC=44.01) of the total variance in TOP compliance can be attributed to the differences between the individual hospitals.
It is likely that patients in the UC group were less inclined to complete participation in the study after being allocated to UC. Multilevel analysis shows that the EAP has no significant effect on the outcome of SCs.
The following presents descriptive results with means and standard deviations on the pretest, post-test and follow-up (Table 1), in addition to a summary of the multilevel analysis, showing the baseline and change statistics for overall effects measured from baseline to sixteen months (Table 2), and short-term effects measured from baseline to four months (Table 3).
The multilevel analysis shows that 20% of the total variance in performed proceedings of the administration protocol (ICC=20.06) was caused by differences between individual hospitals and 10% of the variance in protocol compliance (ICC=9.55) was caused by differences between individual departments.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com