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This summary estimate is based on 31 single-city and multicity estimates selected for meta-analysis from the 84 identified in the review.
Furthermore, we select a subset of genes with large changes in expression comparing GeneBASE and GeneBASE-xhyb estimates, selected for large absolute log moderated fold-change values, described in Equation (4).
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Accordingly, two major sets of estimates were selected for meta-analysis.
In this approach, nondistributed (i.e., single value) central tendency estimates were selected for each parameter of the one-compartment model.
If multiple risk estimates were presented in a given manuscript, the unadjusted estimate was selected for the primary meta-analysis as some studies were adjusted for prominent confounding variables, such as family history and adiposity, while others were not, rendering a direct comparison of estimates to be questionable.
Furthermore, the estimated a values selected for each dataset are correlated with the reported quality control standards (see Results) for each dataset, suggesting validity of this approach.
One implication concerns the equation selected for estimating GFR, since the CKD-EPI [ 14], more suited to estimate creatinine-based GFR for the general population, tends to conceal "hyperfiltrators" by truncating creatinine values <0.7/<0.9 mg/dl.
Fig. 4 Comparison between monthly tower flux estimated NPP and monthly CASA estimates for all Ameriflux sites selected for validation Fig. 5 NLCD land cover maps for agricultural tower flux sites used in CASA model NPP comparisons.
Grass was used as the reference crop for observing the actual ET. A total of 10 climatological methods were selected for estimating reference crop evapotranspiration on a daily basis.
Lateral branches were used for chlorophyll fluorescence measurements and main shoots were selected for estimating stomatal conductance.
The model selected for estimating the incidence of cough illness attributable to pertussis has previously been used in an international study of influenza and was chosen because it allows to capture underreporting [ 15].
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com