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Normalization was either on total on column protein amount, with median (average) error of 22% 24%%) or on that of an endogenous mid concentration range reference (Ppia), giving median (average) total imprecision of 19% 20%%).
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However, when there was a longer gap, carrying the previous BMI forward tended to underestimate the later BMI, while employing the model-based imputation removed the underestimation and led to smaller errors on average (median error=−0.70 kg/m (IQR −2.18 to +0.56) using the last observation carried forward, compared with +0.11 kg/m (−1.29 to +1.40) using the model-based imputation).
Since the strategy of sampling two regions encompasses 21 unique combinations of two regions, the median and average error percentages are taken over all sampled combinations.
Replicate signals were median averaged and normalized using LOWESS algorithm.
Lie with median averages.
The left panel of Figure 4 shows the median prediction error averaged over 1000 user samples for each value of ρ, with an inset showing the equivalent for the Null Model.
The quality control analysis revealed similar results between patients and controls concerning the median and average mass errors (1.90 vs 2.80 ppm), intensity errors (2.10% vs 1.95%), and retention time (0.70% vs 0.50%).
For the most part, the model is pretty accurate (about 7.9percentt median absolute error nationwide).
Differences were evaluated using standard statistical performance error measurements (median performance error (PE) <5%).
RMSE is 2.18 points, the median absolute error is 1.35 points (the MAE measure down-weights the Hawaii error).
Therefore, for PM10, the amount of bias [measured by average (mean or median) prediction error] and precision (measured by RMSPE) in our final model are comparable to that of other studies in the United States.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com