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Exact(19)
The Bland Altman method revealed a small bias of –4 U for the VNRS and +1 U for VASp.
For a hypothesis testing problem about the underlying population mean, we show that the bootstrap tests based on the ET estimators of the DF are asymptotically normal and exhibit a small bias of order O(n−1).
Bland-Altman analysis (Figure 5) showed SPECT/CT to have a small bias of −21.7 g, which was dosimetrically insignificant.
The estimation of CTP is accurate with a small bias of within ±10 % for almost all cloud states tested here.
Compared to the global radiosonde data, a small bias of −0.09 K ± 1.72 K was observed in the height range from 925 to 10 hPa.
Bland-Altman analysis showed planar methodology to have a small bias of −0.41 Gy compared to SPECT/CT, which was dosimetrically insignificant.
Similar(41)
For all values of n and R, the new estimator R ^ D 2 had the smallest bias of all those considered.
For the samples without implant, the smallest bias of measurements in Tb.Th (−0.13 mm) followed by Tb.Sp (−0.23 mm), Tb.N (+0.67 mm−1) and BV/TV (+14.02%).
For the samples with implant, the smallest bias of measurements in Tb.Th (−0.12 mm) followed by Tb.Sp (−0.28 mm), Tb.N (+0.84 mm−1) and BV/TV (+23%).
Compared to DXA, the Gray equation underestimated the FFM with 0.4 kg (55.7 ± 8.3), had an RMSE of 3.2 kg, 63 % accurate prediction and the smallest bias of (−0.1 %).
The smaller bias of the SPCA estimates compared to the PCA estimates is because pollutants unrelated to mortality are retained by PCA; these unrelated pollutants explain by chance some of the morality effect that should be attributed to pollutants that are actually associated with mortality.
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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