Stepwise Regression So, here you are, with a plethora of potential independent variables arrayed before you. There is no substitute for the use of good judgment in choosing which to include in your ...

Subsequently, the team constructed metabolite content conversion models for 101 key metabolites using stepwise multiple regression, achieving high accuracy (R² > 0.9).

Thus, semiparametric variable selection is much more challenging than parametric variable selection (e.g., linear and generalized linear models) because traditional variable selection procedures ...

When the investigators applied a conventional stepwise regression model to these data, they were able to predict AD with 66% accuracy using between 12 and 27 variables from the baseline scans.

Willi Sauerbrei, The Use of Resampling Methods to Simplify Regression Models in Medical Statistics, Journal of the Royal Statistical Society. Series C (Applied Statistics), Vol. 48, No. 3 (1999), pp.