What residualizing predictors in regression analyses does (and what it does not do)
By Lee H. Wurm, S. A. Fisicaro. 2014
182 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/b41c7ad5a65f5b1819175fbc18b8bd8a46c0ece5
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
- Harald Baayen
- Shravan Vasishth
- Douglas M. Bates
- Reinhold Kliegl
- Keith Rayner
- Lena A. Jäger
- Christopher Eager
- Lotte Meteyard
Citations in the corpus
- The cave of Shadows. Addressing the human factor with generalized additive mixed models (2015, methodology): “These techniques are not plagued by issues of collinearity (Wurm and Fisicaro, 2014), and they do not require any kind of model selection (for an example, see, e.g., Baayen et al., 2016a, for application of random forests for this purpose).”