Dichotomizing continuous predictors in multiple regression¶
Royston, P., Altman, D. G., & Sauerbrei, W. (2006). Dichotomizing continuous predictors in multiple regression: a bad idea. Statistics in Medicine, 25(1), 127-141.
Cited by¶
1 citation across 1 artifact.
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Mechanisms¶
- Binning and Discretization Scheme
- Its central hazard is that discretizing discards within-bin information and can manufacture a threshold effect where the underlying variable changes smoothly — the well-documented cost of categorizing (especially dichotomizing) a continuous predictor.
This sourceShows that dichotomizing a continuous predictor creates artificial groups, loses information and power, and can introduce biased data-derived cutpoints despite an underlying continuous scale.
- Its central hazard is that discretizing discards within-bin information and can manufacture a threshold effect where the underlying variable changes smoothly — the well-documented cost of categorizing (especially dichotomizing) a continuous predictor.
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Registry ID ref:e0b930a8b349 · see in the full table