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Increasing the sample size results in an increased frequency of detecting marker/phenotype associations [ 40].
Because the margin of sampling error is related to the size of the sample, increasing the sample size for a particular subgroup through the use of oversampling allows for estimates to be made with a smaller margin of error.
Approximately results are consistent by increasing the sample size.
Error in sampling can be reduced by increasing the sample size.
However, increasing the sample size could improve the performance of the OLS-based model.
After the original data rate is reached, the controller will stop increasing the sample rate.
Weaknesses in data can be effectively addressed by increasing the sample size.
It is simply seen that the value of error decreases by increasing the sample size.
Stratified sampling allows increasing the sample size in a region by a few to many additional sample units.
The result suggests that predictions using RFBC can always achieve the same level of accuracy by increasing the sample size.
Increasing the sample size might identify other POC tests useful to predict and monitor hemorrhagic and thrombotic complications.
More suggestions(15)
increasing the test
raising the sample
increasing the template
widening the sample
increasing the model
increasing the survey
increasing the random
broadening the sample
augmented the sample
widens the sample
augment the sample
raise the sample
increasing the cross section
increasing the specimen
increasing the sampled
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