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While ecologists expected that species would have a harder time propagating once their habitat is so greatly reduced, the calculations by Dr. Peres and his colleagues indicated that far fewer survive in the forest patches than typical ecological models have estimated in the past.
This article reviews how integrated assessment models have estimated the impacts of climate in the energy sector, including the modelling of adaptation.
Meta-analytic reviews, adopting random-effects models, have estimated the lower bound of the 95% confidence interval (CI) of the between group effect size to 0.39 (Hedges'g) [49].
For infants of HIV-infected mothers, however, mathematical models have estimated that there may be benefits of shortening the usual duration of breastfeeding [2], [3] and several studies have observed ongoing risks of HIV transmission with continued breast milk exposure regardless of the child's age [4] [7].
Studies that have not included ozone in their models have estimated the combined effect of temperature on mortality through both pathways, whereas studies that have included ozone in their models have estimated the controlled direct effects of temperature on ozone.
In HIV infection, dynamic marginal structural models have estimated the optimal CD4 for treatment initiation to minimize AIDS/death.
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The classical model has estimated τ to be essentially zero, and consequently failed to construct a 95% confidence interval.
The logistic regression model has estimated that for each decrease in the MPR of 1%, the adjusted risk of hip fractures increases by 0.4%.
For an assumption of the performance of the models, we have estimated solar radiation for Bogra station and plotted the results in Fig. 4.
Using these personalized metabolic models, we have estimated the fluxes of reactions in the SOG pathway.
Overall the models we have estimated have good explanatory power but the RESET test does suggest misspecification problems.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com