The phrase "avoid outliers" is correct and usable in written English.
It can be used in statistical or analytical contexts when discussing data analysis and the need to exclude extreme values that may skew results.
Example: "When analyzing the data, it is important to avoid outliers to ensure the accuracy of the results."
Alternatives: "exclude anomalies" or "omit extreme values".
Adjusted for population, only Yemen has a higher rate of mass shootings among countries with more than 10 million people — a distinction Mr. Lankford urged to avoid outliers.
BE/ME is winsorized to avoid outliers.
To avoid outliers, each company in the study had to have at least 4 separate brokerage house estimates, with the larger and more widely followed stocks often having as many as 30 or 40.
A possible modification of the data processing method that could avoid outliers as those found in the present work would be the definition of frames in terms of number of cardiac cycles instead of fixed durations in seconds.
Images taken from the mobile device are subjected to our proposed filtering scheme wherein images that have noticeable presence of blur are discarded to avoid outliers from affecting the produced high-resolution (HR) image.
The reason for this decision is that we do not need to avoid outliers by means of the percentiles as we only have UE 0 and UE 1 present in our experiment.
To calculate this median distribution, we calculate individual velocity distributions for each observation time, and then calculate overall medians at each velocity point (we use medians rather than means to avoid outlier effects).
Samples with more than one reference genes deemed as outliers were removed from calculating the regression coefficients to avoid outlier effect.
Correlation between the intensities of all transcripts and the corresponding beta actin ratios was investigated (Spearman rank correlation coefficient was used to avoid outlier effects).
To avoid outlier expression bias due to great individual variation, we accepted only contigs for which standard deviation was smaller than the mean expression value within phenotype (SD < Mean).
And with 500 companies on the list, I avoided "outliers" that succeeded because of the unusual talent (or luck) of the founder.
