Sentence examples for methods bias and from inspiring English sources

This creates a common methods bias and makes it difficult to draw conclusions about causality.

For both methods, bias and MSE of estimated breeding values and CG effects substantially increased across generations.

The mean difference between two methods (bias) and the standard deviation of the differences were calculated as well as the error (double standard deviation divided by the mean of the measurements from the two methods) and the limits of agreement (mean difference ± two standard deviations).

Instead of discussing facts and figures, the students analyzed the methods, biases and narrative strategies of those writers and many others to try to answer the question, "Is there any such thing as historical truth?" "In high school, we just learned names and dates," said Clayton Schwarz, one of 13 students in the class.

The study's findings are robust to concerns of common method bias and alternative model specifications.

It is our responsibility to consider context, method, bias, and modes of analysis not only for the sake of accurately representing our narrators but in order to make clear to our audience the ways that these histories, personal and small, are essential components in the larger, shared histories that change our world.

Measurements obtained by the two methods were compared using the Bland Altman method (bias and limit of agreements), Deming regression analysis and Pearson correlation.

Then, the common method bias and self-administrated bias might have an impact on the results.

Therefore, the common method bias and the self-administration bias might have affected the results.

An example of the simulated data set can be found in additional file 2. For each method, bias and confidence levels were estimated through N 1000 = replications.

Bland Altman analysis (Fig.  6) showed no concentration-dependent and systematic differences between the Diasorin Liaison and our UHPLC-MS/MS method, whereas for the Diasorin RIA, there was a significant negative linear association between the method bias and concentration, indicating that the method difference is higher at lower concentrations.