Sentence examples for measurement error based from inspiring English sources
Section 3 presents the characteristics of the range measurement error based on experimental data collection and discusses the impact on position measurement error in a static environment.
Like existing tools, mzRefinery models mass measurement error based on peptide identifications and finds the optimal calibration function.
It may be possible in future work to develop a suitable model for covariate measurement error based on the interobserver error data.
They are both estimates of the extent of measurement error based on the standard deviation (SD) and reliability value, and are readily interpretable as they are given in the same units of measurement as the instrument under examination [ 26, 27].
Accordingly to El-Zayat et al.., the device related measurement error (based on 95 %-prediction intervals) could vary between −0.77 and 2.25 degrees depending on velocity of motion and the distance of the device to the centre of rotation.
CAC progression was defined as a change in square root CAC volume ≥ 2.5, as this difference was determined to be < 1% likely to be due to measurement error, based on the two scans that were completed within 5 minutes of one another [ 16].
Furthermore, numerically simulated measurement errors, based on Gaussian distribution, are also considered in order to verify the stability and robustness of the methodology.
As a flexible model, SEM can correlate or separate measurement errors based on the researchers' hypotheses [30].
The companies had no access to phenotype information that would have permitted any data pre-filtering other than objective quality control for measurement errors based on internal controls and duplicates.
The company had no access to phenotype information that would have permitted any data prefiltering other than objective quality control for measurement errors based on internal controls and duplicates.
Most discussions of measurement error are based on the "classical" assumption that errors in measuring a particular variable are uncorrelated with the true value of that variable, the true values of other variables in the model, and any errors in measuring those variables.
