We only considered viral sequences from the GOS dataset that had top BLAST hits to known viral proteins, although many exceeded this criterion (i.e. had multiple BLAST hits to known viruses).
Gains from pre-test knowledge exceed this criterion for the BIO and MI groups, although the BIO group had a larger effect size than the MI group.
The 0.08 criterion for the root mean square error of approximation (RMSEA) was not achieved for the single factor or two factor model (Andrich & van Schoubroeck, [ 21]) or the GHQ-6 with the 90% confidence interval exceeding this criterion.
Percentages of discordant results exceeding this criteria, resulted in an alert signal given to the study site laboratory, which had to stop the testing and take corrective actions.
If algorithms that give a point estimate for sensitivity of at least 90% for prediction of osteoporosis are considered, the algorithms that approximate or exceed this criteria in our patient population without modification from the developers recommendations, were the SCORE (100%) [ 6], Amsterdam(100%) [ 15], NOF (94%) and SOFSURF 89%) [ 7].
kern-nulldelimiterspace} {left( {V times B} right)_{y} }}} right|) exceeds 0.5, i.e., the mismatch of E y and −(V × B) y exceeds 50%%; this criterion is applied only when the electric field magnitude exceeds 0.5 mV/m to eliminate times of low-level electric fluctuations.
This value exceeds the criterion noted by Fraser and Harris [ 18], which states that the maximum allowable analytical variation should be less than or equal to half the average within-subject variation.
