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Extended Data Fig. 2 Variability in titre responses and measurement error and bias by serotype.
The lagged value-added model performs better due to countervailing measurement error and heterogeneity biases.
Economic data, like political polls, can be subject to measurement error and other idiosyncrasies.
The technique is not biased by red noise leak, aliasing, irregular sampling, and measurement error, and is computationally efficient.
Second, all self-reported dietary assessment methods are subject to measurement error and selective underestimation and overestimation of dietary intake (Livingstone and Black, 2003).
Heisenberg's original formulation, illustrated by the famous γ-ray microscope, sets a lower bound for the product of the measurement error and the disturbance2.
Therefore, the exposure may be subject to measurement error and misclassified; although, such misclassification is likely to be non-differential and attenuate the risk estimates.
The effect of measurement error and sensor number on the estimation accuracy is also investigated.
The most common intuitive theory identified is the Error Tradeoff Model (ETM), which explicitly distinguishes between measurement error and bias.
The nugget effect can be further divided into measurement error and microscale variation.
Sensory estimates are subject to two types of error: random measurement error and bias.
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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