Variable selection – A review and recommendations for the practicing statistician

Short summary

Variable selection methods, often developed for linear regression and transferred to other models, can compromise model stability, unbiasedness of regression coefficients, and validity of p-values/confidence intervals when applied to datasets with 10-30 candidate variables.

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