Sentence examples for risk inference from inspiring English sources

Exact(1)

Two WFPN models of security risk assessment are established according to different relationships between the factors, and a matrix operation based security risk inference method is developed.

Similar(59)

Risk inferences will be altered as data become available for other chemicals.

The risk of inference error in the study was 5%, which means that the results were significant if P value was equal to or less than 0.05.

We have already argued that proponents disagree on whether risk related inferences from parental GM (single) to GM stacks are appropriate.

To manage this problem, distribution based analysis can reduce the risk of inferences and give relevant result than using a single value.

Additionally, this is a cross-sectional study, which does not allow for estimation of absolute risks or inference of causality.

Then a trade-off must be made between shorter window length, where estimation suffers through lack of data, and longer window length, where stationarity may be only approximate; in either case there is a risk of spurious inference.

Finally, when using a data driven approach there is always the risk of reverse inference.

In order to determine the type of amino acid changes observed at positively selected amino acid sites, closely related sequences must be used since this approach reduces the risk of wrong inference, due to multiple mutations at the same codon.

Although personal identifiers are removed from genotype-phenotype data in public databases, the risk of the inference of individuals by data intruders still exists due to richness of such data and increasing numbers of different types of public databases [ 17- 21].

In an e-mail, Mike Oliver, Nocsae's executive director and legal counsel, wrote: "There is a significant potential risk that misleading inferences and conclusions could be made about the ability of one helmet to prevent a particular injury as compared to another, when in fact those conclusions may be entirely wrong.

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