Sentence examples for which would have tested from inspiring English sources

The Kerry rectitude might suffer in this jovial, sloppy hangout, which would have tested even Senator Edwards's noted pan-classism.

It's a relief to find an alternative to stencilling or stamping which would have tested my dormant artistic nature.

Martínez beats on, even after all these years, and even after this year in particular, which would have tested any pitcher's coronary fortitude.

CQC has faced an immensely difficult challenge, the size and complexity of which would have tested any organisation to the limit.

The National Cancer Institute (NCI) informed trial officials yesterday that the study, which would have tested two drugs aimed at preventing breast cancer for a cost of more than $100 million over at least 10 years, is being cancelled because of scientific concerns.

If viewed from the perspective of the in vitro FIC studies, then the drugs in a given combination were tested at 1 + 1 + 1 + 1 doses instead of the fractional doses which would have ideally tested the synergism observed from the in silico and in vitro studies.

A limitation of this analysis resulted from the absence of reliable and comparable figures describing the size of marginalized groups and the prevalence of mental disorders in each city, which would have allowed testing these associations at a different level.

Second, we did not apply a standardized ventilation protocol, which would have allowed testing for effects of the intervention on ventilatory requirements or achieving low tidal volumes of 6 ml/kg PBW or less.

"Trying to develop a vaccine which would have to be tested on pregnant women is a practical and ethical nightmare," said Mike Turner, head of infection and immunobiology at the Wellcome Trust.

The scientists, clinicians, regulators and advocates failed to work together to compromise on a policy which would have accelerated testing of HDC/ABMT and thereby prevented some of its unnecessary use.

The number of trials analysed in this study, which would have been negative, if tested with RR or TCR as primary end point against different alternative hypotheses pA with different powers, are listed in Table 1A, whereas Table 1B shows the number of trials, which would have been positive if tested against different null hypotheses p0 with different significance levels (alpha).