Sentence examples for trials to detect a from inspiring English sources

A number of confounding issues recur in the literature regarding the use of biomarkers: Are there enough samples from sufficiently large trials to detect a statistically significant result?

Assigning p-values for changes in SUVmax at the single-arm trial level The construction of cut-offs based on the null distribution of relative changes in SUVmax enables the use of single arm clinical trials to detect a pharmacodynamic drug effect on FDG uptake.

Either way, the failure of multiple clinical trials to detect an impact of VAP prevention measures on patient outcomes suggests that the net benefit of these interventions on the population level is small.

The interventions that these trials are designed to test are putative modifiers, chemical or otherwise, of HD pathogenesis, and the inclusion of genotype for important genetic variations that also modify HD pathogenesis will increase the power of the clinical trials to detect an effect of the intervention by controlling for the effect of the genetic background of each test subject.

The positive control group is essential to define the sensitivity of the trial to detect a drug's effect on cardiac repolarization.

A successful mixed modes trial requires a "faithful migration," measurement equivalence established between modes, and carefully planned implementation to minimize the risk of increased measurement error impacting the power of the trial to detect a treatment effect.

Due to resource and time constraints of a phase 2 trial, we did not power the trial to detect a significant effect on DV.

Assuming a type I error rate of 0·05, 65 subjects were needed in each arm of the trial to detect a difference of this magnitude with 80percentnt power.

The sample size of 23 dogs was based on the power of the trial to detect a specified clinical benefit on the PVF.

The power of this trial to detect a difference in primary outcomes was further improved by the combination of the two decision aid arms.

A sample size of 19 patients per group would be required for this clinical trial to detect a difference between treatments at a significance level of 0.05 (two-tailed) with a power of 0.90.