Sentence examples for data from the short from inspiring English sources

The main analysis considered X-bar charts with universal limits (i.e. based on the global mean and SD of either ASRM or QIDS scores) applied to non-imputed data from the short run-in period cohort.

Table 4 presents the differences between the results from the main analysis, using universal X-bar charts on non-imputed data from the short run-in period cohort, and each of the secondary analyses over non-imputed data, except for run sum charts results which use a different procedure to determine rule activations.

In the main analysis, applying universal X-bar charts on non-imputed data from the short run-in period cohort, the sensitivity of Shewhart's control rules to detect a manic episode within the next 4 weeks was 30%95%5% CI 19 45%).

However, because of the effects of the passage of time, only data from the short occlusion period offer a pure measure of temporal orienting.

When the safety data from the short interval BCG MVA85A trial was compared with the previous data from the long interval BCG MVA85A trial, the frequency of solicited and spontaneously reported local and systemic adverse events was not different between these two groups (Table 2 and 3)[14].

Quantitative data from the short structured interviews and data collected from reports (primary school census, financial, progress reports) was analysed and reported in summaries, tables, charts and graphs.

The results showed that spectral data from the short-wave infrared (SWIR; e.g., Landsat band 5) portion of the electromagnetic spectrum was most effective at separating fires and clearcut harvests possibly due to differences in structure, shadowing, and amounts of exposed soil left behind by the two disturbance types.

Data from the short-term study support the choice of 30 mg/m3 as the MTD for the previous chronic FG study and also provide indicators of long-term lung toxicity and functional impairment that can be used to estimate the MTD for future chronic fiber inhalation studies.

As explained in the methods, only the data from the short-occlusion period provide a pure measure of the effects of temporal expectation.

Therefore, to isolate pure effects of temporal expectation driven by rhythmic versus symbolic cues, and to rule out contamination by other sources of unwanted temporal variance, only data from the short-occlusion period were relevant.

NCBI has recently begun to advantageously incorporate RNA-seq data from the short-read archive into their RefSeq annotation pipeline, and the inclusion of additional unique tissue types is essential for robust annotation from this automated analysis.