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Table 3 outlines individual regression analyses evaluating the associations of physical functioning to HRQL and mental health.
For each association between an interruption category and reported workload dimension we conducted individual regression analyses.
In addition, individual regression analyses were conducted to examine which factor or combination of factors contributed most to the directional error.
The overall effect of age on work productivity was evaluated from the individual regression analyses, and rate ratios were calculated for age categories of 40-64 years and ≥ 65 years relative to workers 20-39 years of age.
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To clarify the influence of four independent clinical factors on memory/processing speed and eliminate the confounding effect from other clinical variables, individual regression coefficients analyses were performed for the four significant factors.
This was performed using individual linear regression analyses controlling for PMA at MRI.
Individual linear regression analyses controlling for PMA at MRI revealed multiple predictors of GI and CSA (Table 2).
Individual linear regression analyses of eGFR decline were performed to compare kidney function decline before and after inclusion.
Second-level contrast images for Smile > Rest were used to illustrate the overlap between perceptual responses to laughter (as found in the individual differences regression analyses) and brain regions supporting orofacial movements.
We weighted all prevalence estimates and individual-level regression analyses to account for the survey design and levels of non-response.
Results of the individual study linear regression analyses and the meta-analyses are summarized as a forest plot (Fig. 1) and in Table 1.
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