Exact(5)
We used two statistical methods to test whether successive syllables within a syllable bout were independent of one another, or conversely, whether there was an effect caused by one or more of the preceding syllables in the bout.
We used two statistical methods.
To develop such a model, we used two statistical methods, namely a recalibrated SAPS II model based on logistic regression and the technique of recursive partitioning analysis (RPA).
To consolidate the strength of our findings we used two statistical methods to estimate the risk associated with treatment using proton pump inhibitors.
To determine consistency of changes in antimicrobial-resistance patterns over time in a national monitoring project, we used two statistical methods to evaluate national antimicrobial-resistance data over a 4-year period, as well as assess consistency within hospitals.
Similar(55)
We used three statistical methods to determine the significance of differences in gene expression between endo- and ecodormancy libraries.
For studying the effect of feature selection on prediction performance, we used five statistical methods including logistic regression, linear discriminant analysis, penalized regression and data mining methods including support vector machine and random forest.
Media composition and culture conditions for surfactant stable alkaline protease production by Bacillus mojavensis A21 were optimized using two statistical methods.
In the present study, parameter uncertainty for reservoir operating rules is analyzed using two statistical methods, linear regression (LR) and Bayesian simulation (BS).
Medium composition and culture conditions for the xylanases production by Bacillus mojavensis A21 were optimized using two statistical methods: Plackett Burman design applied to find the key ingredients and conditions for the best yield of enzyme production and Box Behnken design used to optimize the value of the four significant variables: barley bran, NaCl, agitation, and cultivation time.
Medium composition and culture conditions for the keratinases production by B. pumilus A1 were optimized using two statistical methods: Plackett Burman design applied to find the key ingredients and conditions for the best yield of enzyme production and central composite design used to optimize the concentration of the five significant variables: feathers meal, soy peptone, NaCl, KCl, and KH2PO4.
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