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9 This allowed for comparative estimates of bias (mean difference between values obtained by the two different methods), and limits of agreement (±1.96×SD of the mean difference between the two methods).
During surgery, PVP correlated highly to CVP (r = 0.86), and the bias (mean difference between CVP and PVP) was −1.6 ± 1.7 mmHg (mean ± SD).
Bland-Altman plot with bias (mean difference between the device and YSI measurements) and limits of agreement (bias ± 1.96 x standard deviation of the bias) were used to show agreement between the device and YSI measurements [13].
A Bland-Altman plot with bias (mean difference between the device and BGA measurements) and limits of agreement (bias ± 1.96 x standard deviation of the bias) was used to analyse the agreement between the device and the BGA results.
Bland-Altman plot with bias (mean difference between the device and YSI measurements) and limits of agreement (bias ± 1.96 x standard deviation of the bias) were used to show agreement between the device and YSI measurements [ 13].
Agreement between intermittent and continuous blood gas analyses was assessed with a Bland-Altman plot [ 10] obtaining: bias (mean difference between methods), precision (± 2 SD of bias) and limits of agreement.
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On the Bland-Altman plot, the bias, or mean difference between sonographic and visual measures, was 0.17 mm, with a standard deviation of 0.71.
Bland-Altman analysis indicated that the bias (mean difference of SpO2 minus SaO2) between the two methods was 1.83 ±0.55%95%CI1.73%73% -1.94%) and limits of agreement were 0.76% and 2.92% in patients with HbA1c >7%.
An example is shown in Fig. 4. First, the mean bias and mean difference between the seasonal amplitudes of the AOGCMs of the 20th century (years 1900 1999, Scenario 20C3M) and the historical observations at each location were found.
We calculated the bias (the mean difference between the two methods) after subtracting 12 from the AGcorr and the precision (the standard deviation of the bias).
Although it has been suggested that a threshold of 0.75 or greater would represent excellent reliability [ 19], examiner bias (the mean difference between reference examiner and survey examiners) is also an important consideration.
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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