Sentence examples for robust information is from inspiring English sources

Exact(5)

His fifth review – released earlier this week — has attracted criticism from the Joint Committee on Human Rights for its conclusion that "the control orders system remains necessary… for a small number of cases where robust information is available to the effect that the suspected individual presents a considerable risk to national security, and conventional prosecution is not realistic".

Robust information is integral to any good decision-making process.

Robust information is lacking on pregnancy outcomes in women with diabetes in the Republic of Ireland.

The absence of robust information is disconcerting, in that diabetes is reported to be specifically identified by 71% of LHCC plans.

When such robust information is important, e.g. in critical clinical situations involving patients with multiple complications and comorbid diseases, the GEC may present a unique basis for decisions, its inconveniences notwithstanding.

Similar(55)

Robust scientific information is essential to proper leasing decisions in offshore waters of the United States.

Yet even when robust outcomes information is available, consumers may be unable to rationally compare the quality of care of each insurer.

Robust exposure response information is important to characterize the risk of inhaled PCBs; thus, additional research is critical to support exposure response assessment.

Robust demographic information is important to understanding the risk of introduction and spread of exotic diseases as well as the development of effective disease control strategies, but is often based on datasets collected for other purposes.

Thus, the availability of robust demographic information is important to understanding the risk of introduction and potential spread of an outbreak of this and other exotic equine diseases (should one occur) as well as for the development of preventive disease control strategies.

In one robust model, this information is supplemented by a lower bound on the demand, whereas in a second robust model, the assumption is made that the variance of the demand is known, in addition to the mean and upper bound.

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