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The BET and Sips models provided estimates of the monolayer sorption capacity (Qm) and related equilibrium sorption parameters.
The models provided estimates of the incidence rate ratio (IRR).
These models provided estimates adjusted for the heterogeneity between studies and the correlation within studies given by the randomized studies with more than two groups.
Groundwater contaminant fate and transport and distribution system models provided estimates of monthly levels of drinking water contaminants at mothers' residences.
The regression models provided estimates of epidemic season characteristics that were on average within 16% of observed epidemic season size, 11% of observed days to peak, and 8% of observed epidemic length.
Land-use regression models provided estimates of annual average concentrations of specific air pollutants at the children's home addresses at two time points: when they were newborns (between 1994 and 1999) and when they underwent lung function testing 6 or 8 years later.
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The results of the different models provide estimates about the amount of deep gas flux, the in situ production and the groundwater residence time of the considered sites.
Gap acceptance models provide estimates of entry capacity based on constant values of the critical headway and follow-up headway which, in turn, represent average values for all observed drivers.
These probabilistic models provide estimates for the variance and credibility interval for each transcript and generate more accurate estimates of low levels of gene expression on benchmark datasets when compared with other stochastic models (Text S1).
These models provide estimates for any geolocation in the conterminous United States by monthly intervals.
24 Logistic regression models provide estimates of survival at specified "cut-off points".
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com