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Air pollution exposure estimates were entered into the model as continuous covariates.
Ingredient estimates were entered and analyzed, and accounting data adjusted and allocated, using Microsoft Excel software [ 41].
To make broader group inferences, these estimates were entered into standard SPM second-level random effects analyses.
These parameter estimates were entered into a second level random-effects analysis using a one-way analysis of variance (ANOVA), with the nine scene regressors as the factors.
These estimates were entered into the second stage of analysis treating subjects as a random effect, using one-sample t tests across subjects.
Contrasts of these parameter estimates were entered into a second-level "group" analysis, in which subjects were the only random effect.
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For ingest, a usage estimate is entered by the user.
In this distribution, the base-case estimate is entered as the most likely value and values between the high and low value are linearly interpreted.
Predicted heights were calculated for each stand at each measurement period and estimated heights were entered onto the database.
Estimates of effectiveness were entered into age and sex specific models to predict their impact in terms of age-weighted and discounted DALYs saved (disability-adjusted life years).
Relative risk estimates from published literature were entered into the formulas for attributable fraction given by Rockhill et al. (1998).
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CEO of Professional Science Editing for Scientists @ prosciediting.com