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Using a stepwise search procedure in the software Phaser all four AbD1556 BMPR-IA AbD1556 BMPR-IA be identified in the asymmetricomplexes the couldal.
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Each independent variable was first analysed in the univariate setting and then all variables with a p-value < 0.1 analysed together in a multivariate model using a stepwise model search to find the relevant predictors.
The location of this event was simultaneously acquired using a stepwise refined grid search approach, with an error of ~2.2 km.
We searched for possible covariables of CIMT, using a stepwise regression procedure with the P-values for independent variables to enter and to stay in the model set at 0.05.
We searched for covariates able to reduce the unexplained variability of model parameters using a stepwise forward selection backward deletion (Jonsson and Karlsson, 1998).
Model selection was determined using a stepwise procedure.
Minimized systems were heated up by using a stepwise approach.
The plots were obtained using a stepwise (constant) model.
A stepwise search algorithm, using both forward and backwards selection, was used to identify statistically significant factors using the Akaike Information Criterion (AIC) as a measure of the relative quality of a statistical models under test.
Given these independent variables, a stepwise search method [ 24] was used to select the relevant variables that can effectively model the daily average noise level.
This is performed through the use of a probability metric, a bootstrap approach and a stepwise search algorithm.
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