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With this sample can estimate a proportion of 20% of false diagnosis of COPD in a electronic medical records, with a precision of ± 0.3%.
"To me it was, do something respectful with this sample before someone else did because I always thought someone would".
You can get a feel for it with this sample article, and Baio has a link to the fuller, impressive PDF edition.
With this sample, the study was powered to detect a 35% difference under the same circumstances.
The total fluorescence yield signal was collected with this sample holder.
Figure 11 depicts the update times of IBFF with this sample.
The analysis yielded no correlation between the parameters associated with this sample even though the sample size appears arithmetically sufficient.
Figure 1 also shows the minimum-weight non-bipartite matching associated with this sample with respect to Euclidean distance.
It is acknowledged that a sample size of n = 9 is relatively small; however, clear and directional statistical results were observed even with this sample.
The weak anti-localization effect is observed in the temperature range of 1.4 to 10 K with this sample, and it reveals that, for the first time, the dephasing is purely caused by electron-electron inelastic scattering in aluminum.
This is particularly pertinent with this sample as despite the low overall response rate, a wide range of enterprises was represented in the sample, which helps to provide a higher confidence rate regarding possible wider extrapolation of the data.
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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