Sentence examples for sample without considering from inspiring English sources

When the same action was applied to all patients of a sample without considering any condition, the result was only a default rule with its precision.

The category wise prevalence of severity of illness in the total sample, without considering the standard errors was 2.3% serious, 4.7% moderate and 3.4% mild.

In order to examine sex differences, at first we tested differences between the following three age groups, 16 18, 19 21, and 22 25 weeks, and after that for the whole sample, without considering fetal ages.

Since genetic subpopulation structure is still generally unknown, sampling without considering the specifics of the subject population could cause false positive results on risk alleles of diseases.

This is an interesting finding because most of the time cut-off points are established for total samples without considering differences across sexes and/or other attributes, something that may result in significant misclassification.

The first technique allows a characterization of the fatty acids present in the samples, without considering the origin of the fats as they are cleaved from the original lipid species during the trans-esterification. Thus, LC-MS was also used to profile the intact lipids.

Previous studies have shown that estimations from sampling data without considering spatial information could introduce large biases and erroneous spatial representations [1, 2], and thus systematic sampling from remote sensing data is crucial to the accurate mapping of tropical forests at the regional scale.

Each plant species was sampled once without considering seasonal variations.

In a first analysis, we simply combined all samples together without considering their origin (Table 5).

In our metric, the distance between sets of variants from two exome samples is computed without considering genotyping quality scores.

In fact, the aim is approached by the prediction profile likelihood in a very efficient manner because scanning the parameter space by the constrained optimization procedure to explore the data-consistent predictions is more efficient than sampling parameter space without considering the predictions like it is performed for MCMC.