Sentence examples for large amount of bias from inspiring English sources

In their report, the researchers acknowledged that their Web survey showed a large amount of bias, in that the type of people who filled it out were the type of people inclined to fill out BBC surveys (well educated, and 90 percent white, for instance).

In studies with a large amount of bias in the difference in the full areas under the curves, the bias correction method reduces the Type I error rate and improves power for the correct decision.

Barnes et al.[ 10] investigate a range of methods for handling missing data in their trial and conclude that imputing missing data as smokers "can cause a large amount of bias if imputing smoking is an incorrect assumption".

Of note, a low response rate does not always imply a large amount of bias [ 23]; e.g., in a patient opinion survey, the mean problem scores obtained after the first mailing, when only about 30% of questionnaires hada been returned, differed by less than one tenth of a standard deviation from the final results (difference 1.9 points, SD 23.8), when a response rate of 70% had been achieved [ 24].

However, the majority of these studies were conducted three decades ago with large amounts of bias, which may explain why mixed results were demonstrated.

The unnormalized raw counts showed the largest amount of bias compared with the normalized data.

However, using q from the simulation study (q= s i m u l a t i o n) does identify a portion of the bias and only rarely does this measure estimate a larger amount of bias then the DNA.

One also has to keep in mind that the chosen measurement range for the device characteristics (from −60 V to 60 V) induces a significantly larger amount of bias stress than in any inverter-based application.

If the systematic bias is not constant, but linearly dependent on the magnitude of the peptide abundances, linear regression normalization can be performed, by applying least square regression to the MA plot and by subtracting a proportionally larger amount of bias, estimated by the regression equation.

The bias correction method performed best under conditions with a large amount of differential bias.

This gives us some reason to believe that there will not be a large amount of endogeneity bias in our estimates; nevertheless, the absence of an IV should be noted as a caveat in a causal interpretation of the γ parameters in Eq. (1).