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Using a stepwise regression model we determined the variables that best explained the jay density.
The spatial pattern of forest cover was quantified by means of pattern metrics and the relation between false change and spatial pattern was analyzed using a stepwise regression procedure.
Furthermore, only those that are considered as important variables from multiple inputs and multiple outputs can be selected using a stepwise regression data envelopment approach developed by Sharma et al. (2015).
A multivariate model using a stepwise regression analysis was performed to correct for confounders.
Final model is selected using a stepwise regression by Akaike-information-criteria.
One version was developed using a stepwise regression approach and the other using an item impact approach.
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We also used a stepwise regression analysis (with forward selection) to examine the respective influence of NREM and REM sleep substages on the learning effects observed upon awakening.
We used a stepwise regression to investigate potential predictors of a horse's final placing.
Afterwards, we used a stepwise regression analysis with all candidate predictor variables.
Second, we used a stepwise regression to identify explanatory variables of the ICECAP-O scores, which has limitations.
The authors use a stepwise regression when other approaches such as logistic regressions, Ricker or Beverton Holt models could give more suitable results.
More suggestions(15)
using a stepwise manner
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using a stepwise search
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using a stepwise pulse
using a logic regression
using a stepwise differentiation
using a probit regression
using a stepwise incorporation
using a stepwise optimization
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using a stepwise selection
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