Sentence examples for generate bias from inspiring English sources
This can generate bias, as women who chose to stay in the programs are more likely to be committed to exercise and thus have better results.
If a body of operations has a true level of risk that is higher than the estimated risk, then these operations might generate bias in the output of these reports.
Considering that many gene pairs have the same network distance, which may generate bias in the correlation analysis, gene pairs were further integrated into groups according to their network distance, and the average expression similarity for each group of gene pairs was calculated.
Through our discussions with researchers it was generally acknowledged that counting fish that enter the survey boundaries after the census started could generate bias in the counts; however, this bias was considered to be insignificant and acceptable as long as the methods were constant between surveys.
With observational data, multiple imputation could lose precision and eventually generate bias.
Of course, random variation that is orthogonal to treatment assignment does not alone generate bias.
The highly AT-enriched P. falciparum genome also is known to generate biases in the coverage distribution23.
Studies based on misclassified land use data can generate biased parameter estimates and standard errors, inaccurate predictions, and incorrect policy recommendations.
Compounding of errors, particularly in density measurement of core samples and subsequent variability, generate biased air void content results that make the compliance largely a matter of chance.
This study confirmed the incremental nature of stream degradation associated with intensive land use, and demonstrated how inclusion of anything but the smallest units of stream area and confidence rankings in the results can generate biased interpretations of stream condition.
Most studies evaluating the macroeconomic effects of financial support policies on business-funded R&D use econometric methods that do not consider the existence of spatial effects, and generate biased estimates.
