Sentence examples for excluded datasets from inspiring English sources

Differences in the model coefficient magnitudes ranged from −0.05 to 0.0 between the full and truncated datasets, -0.17 to 0.01 between the full and excluded datasets, and −0.15 to 0.01 between the truncated and excluded datasets.

Numbers of excluded datasets were similar in all groups and did not substantially differ between males and females.

In general, meaningful differences in the magnitude of model effects for the descriptive indicators of steps/day on changes in the anthropometric outcomes were not present when using the full, truncated, or excluded datasets.

Following Metta and Schlötterer's [ 21] classification, we separated those 47 inter-chromosomal gene movements into two sub-datasets here named by us as the segmental and the excluded datasets.

For example, a 1,000 steps/day increase in change in intervention mean steps/day resulted in 0.33, 0.38, and 0.45 cm decreases in waist circumference using the full, truncated, and excluded datasets, respectively.

Exploratory analyses using pedometer data from a subset of participants in this study who reported at least one implausible steps/day value suggest this may be true as differences between model coefficients using full and excluded datasets were magnified for waist circumference, %BF, and fat mass (but not for BMI) in this subset compared to the full set of participants (data not shown).

The excluded dataset corresponds to the remaining 26 cases.

In the excluded dataset, values falling above or below the plausibility range were excluded from analysis.

Therefore, we conducted a full analysis on the excluded dataset (26 cases, see Additional file 2).

However, the large number of excluded dataset and meta-analysis results is an indicator for remaining research gaps concerning HVGICs.

A total of 1,248 individuals from our previous study were excluded (dataset 1), resulting in 6,063 CSII patients (dataset 2) (mean age 10.6 ± 4.3 years).