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Re-evaluating composite scores: adaptive Lasso variable selection for non-linear models

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Publication:6541527
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DOI10.1002/STA4.251MaRDI QIDQ6541527

Raymond J. Carroll, Eli S. Kravitz

Publication date: 19 May 2024

Published in: Stat (Search for Journal in Brave)




zbMATH Keywords

nutritional epidemiologyleast squares approximationadaptive lassonon-linear regressioncomposite scores


Mathematics Subject Classification ID

Statistics (62-XX)


Cites Work

  • Title not available (Why is that?)
  • The Adaptive Lasso and Its Oracle Properties
  • Least angle regression. (With discussion)
  • On the selection of ordinary differential equation models with application to predator‐prey dynamical models
  • Unified LASSO Estimation by Least Squares Approximation
  • Generalized Partially Linear Single-Index Models
  • Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties
  • Measurement Error in Nonlinear Models


Related Items (1)

A semiparametric risk score for physical activity






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