Sentence examples for measurement error so from inspiring English sources

Furthermore, as shown above, the CE approach does not overcome the problem of differential measurement error so that the problems with IV that we discuss can still apply to these "corrected" measures.

In contrast, the residential metrics appear to have less measurement error, so less improvement in the estimates was gained by restricting analyses to long-term residents in this study.

The overall Pearson correlation coefficient is 0.573; while this may not seem very high, the separate analyses of each array type indicate that > 95% of the genes likely have zero fold-change plus random measurement error, so they are not expected to be correlated [ 31].

ECONOMIC data are often subject to measurement errors so it's always nice to cross-check what is emerging from the central banks and the government statistics offices.For the US economy, I like the numbers from the American Trucking Association and the Association of American Railroads, on the grounds that they are carrying stuff you can see and feel.

However, these figures are influenced by non genetic factors including shared environment and measurement errors so that the magnitude of the genetic effect could be different.

We did not estimate the functional OR repertoire size because the two estimated variables required to calculate it (i.e. the total number of OR genes and the proportion of those that are intact) already have substantial measurement errors, so that their multiplication would lead to an even more uncertain estimate.

In our study the MIC for the Dutch-AIMS2-HFF was small (0.31), but the measurement error was so large that the MIC could not be discriminated from measurement error.

The estimated biases resulting from the classical-like measurement error were so small as to be uninteresting from an epidemiologic perspective because the point estimates of all four pollutants after implementing measurement error correction were unchanged out to three decimal places.

The focus of this work is to deal with the method and strategies for measurement of flatness error so as to be able to predict the flatness error accurately at reduced sample sizes in batch and mass production setups.

It is nowadays taken for granted by scientists that every measurement is subject to error so that repetitions of apparently the same experiment give different results.

This is an analysis of the available data, not the subjects' true BMI and cholesterol values so measurement error was not taken into account.