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Exact(35)
Optimal conditions were selected using an experimental design.
The best models of snag persistence were selected using an information theoretic approach (i.e., AICc).
The number of sites and their locations were selected using an optimal sampling design that captured 95% of the total variance in PM10 2.5 as measured with real-time sampling equipment on a mobile sampling platform.
SNPs in putative NRF2 binding sites (or AREs) were selected using an approach developed by our group [9], [13], [40].
For inverse computation of the ventricular activation sequence the target beats were selected using an automated signal processing algorithm as previously described [9].
Significant up-regulated and down-regulated genes were selected using an adjusted p-value ≤0.05 and normalized ratios (Signal Log2 Ratio) ≥1 or ≤−1 respectively; relative to incompatible interaction (Nd-1/GMI1000).
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For this reason, individual taxa or selections of taxa were selected using a random number generator.
All covariates were selected using a backward selection (p<.05 to stay).
Final regression models were selected using a forward selection procedure.
Then, features were selected using a forward selection method.
Probe sequences were selected using a score-based selection algorithm, as described.
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