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The phrase "a random selection bias" is correct and usable in written English.
It can be used in discussions about research methodology, statistics, or data analysis when referring to a bias that occurs due to the random selection process.
Example: "The study's findings were compromised by a random selection bias, leading to skewed results that did not accurately represent the population."
Alternatives: "a random sampling bias" or "an arbitrary selection bias".
Exact(1)
Unfortunately, we were unable to include more samples from our original cohort (70 samples) due to availability and because the analysis was restricted to samples with identical titre in certain cases, which may have resulted in a random selection bias.
Similar(59)
In fact, in clear contrast to the observations on the real modules, statistics for the modules based on the random networks showed that the averages of the BMI conservation ratios are higher than WMI conservation for all genomics data types and species comparison, indicating that results for real data are a function of strong non-random selection bias.
Non-compliance introduces non-random selection bias to RCTs and has implications for causality, generalizability and policy [ 2– 5].
Also, while a single individual did inclusion for all articles, a second individual cross-checked a random selection of articles, which minimizes any selection bias.
A random selection algorithm was used to reduce bias during enrollment of patients seen in specialty clinics or clinics of community cardiologists with experience in heart failure.
Since patients' selection was primarily conducted by using routine claims data and secondarily by drawing a random sample selection bias is unlikely.
Since such selection, or rather 'self exclusion', from participating in the survey is not expected to be systematic or non-random, a selection bias as a consequence of this snowfall is implausible and not highly evident.
The patients who chose to forego CLND did not do so for random reasons; selection bias is a major drawback of this study.
The sample was not random, thus a selection bias could not be excluded.
Selection was random and selection bias may be small.
Such applications involve complicated interactions of random error, selection bias, measurement error, and other sources of uncertainty that compound in mathematically complicated ways.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com