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In [11], a multi-time-scale optimization model, which adjusts the power distribution by considering the impact of real-time electricity prices and unbalanced power, is proposed to maximize the revenue of hybrid AC/DC microgrids.
We used a random effects model which adjusts the estimates and confidence intervals to account for between-study variations.
The most sophisticated method is to construct a regression model which adjusts the post-treatment score by the baseline score ("ANCOVA").
The regional clustering of physical health is comparatively small with around 2.4% of the total variance in the baseline model, which adjusts for age and gender.
We used a type of autoregressive moving average (ARMA) model, which adjusts for confounding variables such as sewage release events and season, to look for an association between daily visits and rainfall after a defined lag.
After background correction using a Normal plus Exponential convolution model, which adjusts the foreground to the background, we used an offset to dampen the variation of the log-ratios for intensities close to zero.
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A multivariate meta-regression model, which adjusted simultaneously for these same covariates, did not change the results (P value >.05 overall).
The final model, which adjusted for recruitment site, indicated that financial status, race, and education were indirectly related to health information recall through health literacy.
The GM volumes indicating group differences between headache diagnoses (TTH vs. migraine) were further analyzed using a logistic regression model which adjusted for age, sex, and BDI to confirm the significance of the headache type prediction (TTH vs. migraine).
Covariates significant at the p<0.20 level were entered into a multivariate model which adjusted for covariates found to be significant independent predictors of in-hospital and post-discharge mortality at Mulago Hospital.
The additional, third model which adjusted for total daily computer use, slightly amplified the associations.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com