Sentence examples for a trial to detect from inspiring English sources

A trial to detect a 4% reduction in mortality with 80% power would require a total sample size of around 3500 (i.e. approximately 1745 patients in each arm).

The number of participants required in each arm of a trial to detect a standardized difference of 0.78 with 80% power using a cutoff for statistical significance of 0.05 is as follows: Thus, 26 participants are required in each arm of the trial, which agrees with the estimate provided by the nomogram.

A simple feasibility check, to determine whether a fixed number of available clusters will enable a trial to detect a required difference at required power, therefore consists of evaluating whether the following inequality holds: (21) for equal cluster sizes [ 2], and (22) for unequal cluster sizes.

Even if the median follow-up time were disregarded, a clinical trial to detect a 0.6% mortality difference would require a sample size of over 100,000, even in low-mortality ICUs.

On the other hand, it should be discussed whether performing a larger trial to detect a statistically significant effect of ISS is relevant or feasible and appears to have a clinically or educationally relevant effect.

Thus if one assumes that the natural resolution of non-specific cough occurs in 50% of children, 85 children per study arm is required in a randomised controlled trial to detect a 50% difference between active and placebo groups, for a study powered at 90% at the 5% significance level.

Some would argue that it may have been unrealistic to design a randomized controlled trial to detect an ARR of10% in septic shock.

We have recruited sufficient participants to undertake an adequately powered trial to detect a mean difference in weight of 2.5 kg between the intensive and light intervention groups at the 5% significance level.

Secondly, this study was designed as a non-inferiority trial to detect differences in bacterial contamination, not to detect differences in SSIs.

Figure 1 illustrates the clinical trial support group's involvement in monitoring a multicentre randomised trial to detect in vivo resistance of Plasmodium falciparum to artesunate in patients with uncomplicated malaria (Web registration number: NCT01350856).

It has been estimated that a trial would require a minimum of 30,000 patients, much larger than any clinical trial, to detect an association with iDILI based on a frequency of 1/10,000 (Holt and Ju 2006).