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'measured with error' is a correct and usable phrase in written English.
You can use it to describe an action taken to account for an expected degree of uncertainty or inaccuracy in a measurement or estimate. For example: The surveyors carefully measured the area of the park, but they allowed for some error in their calculations.
Exact(60)
If a gold standard measured with error is used to correct another imperfect measurement, this can introduce new bias.
The statistical methodology for assessment of this hyperbolic relationship is critical when both the x and y variables are measured with error, as the slope will be underestimated if measurement error in the independent variable is not accounted for (23).
Measurement error occurs when one or more regression model covariates are measured with error, and is a common problem in occupational health and other fields.
We generate a potential confounding variable, C, such that C~N 0,1), corr X, C) = ρxc, corr(Y, C) = ρyc, and C's surrogate, D, is measured with error such that D = C + V, where measurement error V~N 0, σv).
We compare the asymptotic relative efficiency of several regression calibration methods of correcting for measurement error in studies with internal validation data, when a single covariate is measured with error.
In medical research, covariates (e.g., exposure and confounder variables) are often measured with error.
Unintended pregnancy is measured as a composite of abortions and unintended births, each of which is measured with error.
In our notation, (Z=(mathit{age}, mathit{BMI}, mathit{BP})^{T}), X is the glucose concentration measured with error.
However, since the (X_{i}) are measured with error, we cannot obtain the exact data of (Y_{i}^{circ}).
This paper deals with analysis of covariance (ANOCOVA) models in a completely randomized design where the explanatory variables are measured with error.
Moreover, we expect Tangibility to be measured with error because tangible fixed assets are valued at their acquisition (historical) cost, which may differ from their market/collateral values.
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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