Estimation of a non-parametric variable importance measure of a continuous exposure

DOI10.1214/12-EJS703zbMath1295.62029WikidataQ41906788 ScholiaQ41906788MaRDI QIDQ1950850

Antoine Chambaz, Pierre Neuvial, Mark J. Van der Laan

Publication date: 28 May 2013

Published in: Electronic Journal of Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.ejs/1340369355

zbMATH Keywords

robustnessasymptoticsnonparametric estimationvariable importance measuretargeted minimum loss estimation

Mathematics Subject Classification ID

Asymptotic properties of nonparametric inference (62G20) Nonparametric robustness (62G35) Applications of statistics to biology and medical sciences; meta analysis (62P10) Nonparametric estimation (62G05)

Related Items

Nonparametric variable importance assessment using machine learning techniques, Comment on: ``Models as (deliberate) approximations

Uses Software

• R
• gam
• e1071
• SuperLearner
• CNAmet
• randomForest
• polspline

Cites Work

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• Finding quantitative trait loci genes with collaborative targeted maximum likelihood learning
• Nonparametric Testing for DNA Copy Number Induced Differential mRNA Gene Expression
• Asymptotic Statistics
• Estimating Exposure Effects by Modelling the Expectation of Exposure Conditional on Confounders
• Super Learner