Sentence examples for outcome large from inspiring English sources

As an outcome, large temperature and vapour concentration gradients set over the sodium pool have been found which result in large particle concentrations in the close vicinity of the pool.

Since dramatic effects are unlikely in HRQoL studies using the SF-36 as an outcome, large samples sizes are likely to be required [ 2, 3, 6].

Although power was not achieved for the SPPB outcome, large floor effects were observed for the SPPB suggesting it may not be a feasible measure for use within the ICU setting.

However, the bias will depend on the strength of the association between covariates and outcome; large imbalances in covariates may not cause large biases if those covariates are only weakly associated with the outcome.

Despite a lack of evidence from randomized controlled trials demonstrating that attaining serum calcium targets impacts clinical outcome, large observational studies showed that the inflection point at which calcium becomes associated with an increased relative risk of all-cause mortality varies among studies, from 2.38 to 2.85 mmol/l [ 35- 37].

However, no statistically significant differences were observed in the final outcome dimension (large-value version: F (1, 23) = 3.15, p =.09; small-value version: F (1, 23) = 0.07, p =.80) or in the interaction between two factors (gain-loss frequency × final outcome) (large value version: F (1, 23) = 0.76, p =.39; small value version: F (1, 23) =.49, p =.49).

The predefined primary outcome, large-for-gestational-age infants, occurred to a similar extent in both arms (45 vs. 34%; P = 0.19), and no difference was found between the predefined secondary outcome: the prevalence of preterm delivery and/or severe neonatal hypoglycemia (29 vs. 22%; P = 0.36) (Table 3).

There were no statistically significant differences identified between women who received an antenatal intervention and those who did not for the outcome large-for-gestational-age infant (three studies; 366 women; risk ratio 2.02; 95% CI 0.84, 4.86) or mean gestational weight gain (four studies; 416 women; weighted mean difference -3.10 kg; 95% CI -8.32, 2.13 (random effects model).

However, in order to evaluate the impact of these concomitant alterations on patient outcome, larger patient series with this sub-category of tumors would be needed.

To estimate the clinical relevance of the findings, Cohen's effect size (Cohen's d) [18] was used for parametric outcomes (large effect ≥0.8) and r [19] for non-parametric outcomes (large effect ≥0.5).

When performing epidemiological studies on reproductive outcomes, large enough sample sizes are needed to ensure a reasonable statistical power.