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The uncertainty of this prediction is expressed by the 95% confidence interval (CI) of the mean regression line (Figure 3, fine dotted lines).
The expected average mean deposition for in-field conditions has been found to be 326 n/cm2, with a 95%% CI of the mean regression line between 246 and 431 n/cm2.
Solid and dotted blue lines mean regression line with 95%% confidence interval, respectively; red lines 95%% confidence interval for PMF-measured standardised deposition single values; green lines 95%% confidence interval for plant-specific (maize) deposition single values.
For each observation, the standard deviation score (z-score) was the distance in SDs from the mean regression line.
The standard deviation (SD) score (z-score) for each observation was calculated as the distance in SDs from the mean regression line.
The results from this modified UKPDS model analysis demonstrate that when the risk equations were adjusted for prior cardiovascular history, the predictions for MACE were more consistent between studies (Table 3B) and closer to the mean regression line.
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The intersection of the mean regression lines represent the mean mix of sources for the entire population of crickets.
To evaluate 5-day BNP kinetics among subgroups, mean regression lines were created and compared by using linear mixed model analysis.
To assess the effect of converting individual-subject data to means, a regression line was also fitted to the individual-subject data.
The results of the regression of this standardised PMF deposition data are shown in Fig. 5, which includes the expected mean deposition (blue line), 95 % CI of the mean regression (black dotted lines) and 95 % CI for single values (red lines).
Alternatively, a curve fit approach could recognize the relationship between SD and mean by a regression line (curve fit).
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com