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The authors use a stepwise regression when other approaches such as logistic regressions, Ricker or Beverton Holt models could give more suitable results.
The analytical approach employed by the authors doesn't seem appropriate in my view, as they also recognize in the discussion, and that could be the reason for not finding any climatic variable significant in the model: The authors use a stepwise regression when other approaches such as logistic regressions, Ricker or Beverton Holt models could give more suitable results.
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Using a stepwise regression model we determined the variables that best explained the jay density.
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).
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.
We used a stepwise regression to investigate potential predictors of a horse's final placing.
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.
Afterwards, we used a stepwise regression analysis with all candidate predictor variables.
One version was developed using a stepwise regression approach and the other using an item impact approach.
Second, we used a stepwise regression to identify explanatory variables of the ICECAP-O scores, which has limitations.
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