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As a result, beta coefficients from regression models represent the percent change in UCBL for a 1% change in MBL.
Including BMI instead of WC in our analyses did not change the estimates or S.E. at all – neither among men nor among women (e.g. among men the inclusion of BMI instead of WC in the analyses of the relation between mercury and SBP still gave a negative, but statistically insignificant result (Beta = −0.02, S.E. = 0.01, p = 0.05).
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Then Google announced its intension to optimize local search (via "Google Home Services") and display profiles of local service pros above organic search results (beta currently live in specific cities and industries).
At metaregression analysis, length of follow up did not influence these results (Beta −0.001, P 0.58).
Resulting beta maps were averaged across subjects and treated as cross-subject connectivity maps for a given seed region.
The resulting beta estimates were then processed using the same ROI analysis method as before with the same ROIs.
Resulting beta images for each subject, reflecting voxel-wise correlations (i.e. functional connectivity) with amygdala activity, were then passed forward to second level random effects group analysis.
The resulting beta values for each switch type were compared and thresholded at p < 0.05, correcting for the false discovery rate.
We used the resulting beta coefficients from the logistic regression model to calculate the predicted probability of referral to the dentist based on risk status.
Because level of significance is influenced by sample size, we then plotted each resulting beta and 95% confidence intervals to compare the effect sizes of the unweighted GRS across the five different HDL-C definitions.
Their pink colouration is the result of beta carotene pigment which is present in the small animals and plants they eat.
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