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The procedure examined all linear models specified by equation (4), where λ ^ is the estimated mean number of common genes, n is the number of genes in a random gene set, and β ^ represents a parameter of the regression function.
This procedure examined heterogeneity in ω (ω = dN/ dS) [ 90] among codons based on the maximum likelihood method, with positive selection indicated by ω = dN/ dS > 1. Six models (M0, M2a, M3, M7, M8) allowing for different selection intensity among sites were tested [ 91, 92].
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Steps 4 and 5 of the procedure examine two possible applications of the classification results.
The procedure examines the remaining variables and stops when no other variable can be added or removed from the model.
One procedure examines the effect of example-problem pairs when they are simultaneously presented to a participant.
Multiple logistic regression models are employed with a stepwise variable selection procedure examining those factors found significant during univariate analysis to identify significant variables affecting vaccination coverage.
Thus starting from a set of filtered SNPs, this procedure examines the underlying read sequences to list a set of observed read-based haplotypes.
The procedure examines all possible independent or splitting variables and selects the one that produces the most different binary groups compared with the dependent variable according to a predetermined splitting criterion.
Even if the school has an exit procedure, examine the room after laying it out and determine two viable evacuation strategies.
The examination techniques on victim cases, openness, and other crimes, are in principle like other clinical procedures examined.
The procedures examined include: the scABER method, the classic 0.80 1.25 approach, a levelling-off scaled BE limit (BELscW), and some other scaled bioequivalence limits.
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