Sentence examples for cannot be validated by from inspiring English sources

Mr Scott called charges of racism against the tea-party movement "a diversionary tactic [that] cannot be validated by facts".

For Ms. Bowlby, navigating her sexuality and her faith has meant a journey with few guideposts, trying to discover what "holiness looks like in a relationship that cannot be validated by marriage," she said.

Brecht clarified the doctrine (known as standard value relativism) that ultimate values cannot be validated by science, since the value of particular goals and purposes cannot be set scientifically without knowing their relation to other goals and purposes.

From the genes that were not validated with statistical significance, jun is an in vitro indirect COUP-TF target [20], and ucp1 expression is deregulated upon COUP-TF knockdown in a skeletal muscle cell culture model [21], suggesting that our microarray hit list likely contains real COUP-TFI targets, some of which likely cannot be validated by the sensitivity of our assay.

In this study, the focus was on obtaining the meaning of the text, which cannot be validated by the interviewees.

Given that true cluster distributions cannot be known in the absence of complete sampling, the model cannot be validated by using it to derive known cluster distributions.

Thus, the use of a sensitive, potentially overly inclusive definition is typical when investigating conditions for which the inclusion of suspect cases cannot be validated (e.g., by using laboratory test) and is common when investigating apparently new disease events, particularly when that event may be a new outbreak or epidemic.

The challenge is that there is an important sense in which diagnoses cannot be validated at all, if by "validation" we mean "shown to be a real disorder".

Even in these high quality data sets, up to about 2% of the variants cannot be validated if re-sequenced by a complementary approach such as ABI Sanger.

As these assumptions cannot be validated, we supplemented the analyses by sensitivity analyses based on scenarios with realistic deviations from MAR.

Secondly, no patients participated in the qualitative data collection; therefore, claims about improvements in patient outcomes and satisfaction that were reported by others cannot be validated.