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A proposal for examining and reporting stepwise regressions.

W W Hauck¹, R Miike

¹Department of Epidemiology and Biostatistics, University of California, San Francisco 94143-0560.

Statistics in Medicine

|May 1, 1991

Summary

Stepwise regression analysis can mislead analysts about variable importance. We propose a table to identify

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Area of Science:

Statistics
Data Analysis

Background:

Stepwise regression is a common statistical method.
A known issue is misinterpretation of selected variables as definitively important.

Purpose of the Study:

To propose a method for improving the interpretation of stepwise regression.
To introduce a table that aids in examining and reporting stepwise regression analyses.

Main Methods:

The proposed method involves creating a table to display results.
This table highlights 'close alternatives' – variables excluded due to the selection of others.

Main Results:

The table facilitates a more nuanced understanding of variable selection.
It helps analysts and readers consider sets of variables rather than isolated ones.

Conclusions:

The proposed table enhances the examination and reporting of stepwise regression.
It encourages a broader consideration of factors associated with an outcome.

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