2008•Analytica Chimica ActaRequires access

Boosted regression trees, multivariate adaptive regression splines and their two-step combinations with multiple linear regression or partial least squares to predict blood–brain barrier passage: A case study

Eric Deconinck, Mingyuan Zhang, F. Petitet, E. Dubus, I. Ijjaali, D. Coomans, Yvan Vander Heyden

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Key concepts: Multivariate adaptive regression splines, Bayesian multivariate linear regression, Partial least squares regression, Linear regression, Multivariate statistics, Proper linear model, Stepwise regression, Regression analysis

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Boosted regression trees, multivariate adaptive regression splines and their two-step combinations with multiple linear regression or partial least squares to predict blood–brain barrier passage: A case study — Research Paper | ScholarLens