How to apply variable selection machine learning algorithms with multiply imputed data: A missing discussion.
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DOI: 10.1037/met0000478
Abstract: Psychological researchers often use standard linear regression to identify relevant predictors of an outcome of interest, but challenges emerge with incomplete data and growing numbers of candidate predictors. Regularization methods like the LASSO can reduce… read more here.
Keywords: missing data; apply variable; machine learning; variable selection ... See more keywords