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For the primary objective, we will be utilizing linear mixed models analyses, to examine change between groups and over time, with the primary outcome being body composition changes over time and between the two groups (immediate intervention and delayed intervention).
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Here, we combine data from regional and global inventories as well as forward and inverse model analyses to appraise what is known about Africa's continental-scale carbon dynamics.
We used linear mixed-model analyses to compare symptom days and CHSA subscales.
We extended model analyses to consider the joint ecological and evolutionary effects of fishing.
We performed two separate linear mixed-model analyses to analyse the relation between plant and arthropod diversity in response to grazing.
Our results provide a measurement model which can serve as the foundation for future structural equation model analyses to determine the relationships between the domains of disability.
All models used Cox proportional hazards regression model analyses to obtain hazard ratios (HRs) (95% CI) of the measure of depression.
DOI: http://dx.doi.org/10.7554/eLife.05920.008 10.7554/eLiFigure20.009 Figure 1 figure supplement 6. Modeling analyses to calculate LD50 values, indicated in parentheses, for all 21 Treg-specific enhancers.
We used independent contrasts (Judd & McClelland, 1989) in post hoc tests following mixed-model analyses to test for significant differences among targeted genotypes.
DOI: http://dx.doi.org/10.7554/eLife.05920.007 10.7554/eLiFigure20.008 Figure 1 figure supplement 5. Modeling analyses to calculate EC50 values, indicated in parentheses, for all 21 Treg-specific enhancers.
There were a number of differences in the groups that were evaluated in the multivariate model analyses to determine the effects of these covariables.
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