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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 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.
For each health outcome, we started with a basic model which adjusted for age and gender only.
A multivariate Cox regression model, which adjusted for potential confounding factors, was also used to estimate HRs for PFS and OS.
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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.
All variables were then included as covariates with BMI in a multivariable logistic regression model which adjusts each variable and its accompanying odds ratios for all of the other variables in the model (Table 2).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com