Efficient Exploration of Many Variables and Interactions Using Regularized Regression.

Volume: 20, Issue: 4, Pages: 575 - 584
Published: May 1, 2019
Abstract
The prevention sciences often face several situations that can compromise the statistical power and validity of a study. Among these, research can (1) have data with many variables, sometimes with low sample sizes, (2) have highly correlated predictors, (3) have unclear theory or empirical evidence related to the research questions, and/or (4) have difficulty selecting the proper covariates in observational studies. Modeling in these situations...
Paper Details
Title
Efficient Exploration of Many Variables and Interactions Using Regularized Regression.
Published Date
May 1, 2019
Volume
20
Issue
4
Pages
575 - 584
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