Sentence examples for trials that failed from inspiring English sources

This is presumably the same modernisation that led Human Rights Watch that year to comment that "hundreds of people were executed after trials that failed to comply with minimum international standards".

Garrett's statistical analysis is invaluable, but the most dramatic parts of his book are those that provide narrative details of trials that failed to prevent the innocent from being wrongly convicted.

That will help increase the efficiency of research by letting others know about trials that failed, officials say.

This tally adds to over 30 randomized clinical trials that failed to show efficacy or effectiveness in reducing HIV incidence [18].

The alpha ERS effect was not found in timeout trials that failed to produce any solution; since no solution-relevant information was active at the first place, nothing had to be suppressed, and so the hint could not help to find the final solution.

We report the percent of trials that failed to reach integrality in Table 8.

It is important to avoid costly large-scale clinical trials that fail to demonstrate the clinical utility of the tested therapy, as resources expended in failed trials raise overall development costs and thereby restrict the range of therapies meeting criteria of commercial feasibility.

AstraZeneca therefore plans to use Cellular Dynamics's cells to check the toxicity of potential medicines before they get inside a human being, in order to reduce the number of trials that fail for the second reason.And AstraZeneca is not the only company using iPS cells in new ways.

The increasing number of phase I/II clinical trials that fail to proceed to further stages of drug development has discredited the pertinence of such investigations.

Hence, a need exists to integrate algae cell engineering with predictive bioprocess engineering to ensure economic and environmental feasibility and minimize the number of full-scale trials that fail.

14 Trials that fail to account for clustering in the design risk underestimating sample size requirements, and trials that fail to account for clustering in the analysis risk overstating the statistical significance of the findings.