Sentence examples for stringent type from inspiring English sources

We also argue that demonstrating genetic association to imaging-derived traits is subject to the same constraints as any other genetic study, including stringent type I error control.

Subsequently, a more stringent type of invariance was evaluated by considering a model with equality constraints imposed to factor loadings.

Our sample size was uniquely and sufficiently large to empower us to investigate thoroughly numerous factors and interactions even under a very stringent type I error (0.01) and to split our data to avoid reporting false positive interactions.

Even after adjustment for conventional risk factors and stringent type I error reduction techniques, two of the NOS3 SNPs shared significant associations with ABI, suggesting that alterations in NOS3 may indeed influence inter-individual variation in ABI.

The last and most stringent type of factorial invariance, strict invariance, requires invariant item residual variances across groups (Meredith & Teresi, 2006); however, this kind of invariance is unreasonable, not recommended, and the least important (Byrne & van de Vijver, 2010).

A total of 9 446 of those (Supporting Information Table 3) were of the most stringent type meaning that a matched peptide was top ranked by both CID and ETD.

This is a result of the adopted stringent typing procedure and represents a conservative error, which was resolved by following the typing protocol, i.e. cloning and sequencing of MHC in this individual.

In some areas serfdom was renewed, or confirmed, as jurists interpreted the more stringent types of peasant obligation in the light of the revived Roman law of slavery.

If so, current A1C targets may be too stringent for older type 2 diabetic patients, who have an increased risk of hypoglycemia and medication side effects (22, 23).

Furthermore, the initial advantage for the younger patients may be due to more stringent management of type 1 diabetes, because this has been shown to reduce the decline in insulin production (17).

"We argue that when examining an array of nominally positive findings, statistical stringency alone does not permit us to determine which findings are by chance and which are not, and therefore, setting too stringent cutoff for Type I error criterion for association decreases power to find real associations".