Semiparametric and nonparametric modeling for effect modification in matched studies

DOI10.1016/j.csda.2003.09.002zbMath1429.62039OpenAlexW2094075067MaRDI QIDQ956967

Inyoung Kim, Noah Cohen

Publication date: 26 November 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2003.09.002

zbMATH Keywords

conditional logistic regressionvarying coefficient modeleffect modificationeffect heterogeneitylocal likelihood regressionmatched case-control studies

Mathematics Subject Classification ID

Nonparametric estimation (62G05) Generalized linear models (logistic models) (62J12) Graphical methods in statistics (62A09)

Related Items (4)

Dual-semiparametric regression using weighted Dirichlet process mixture ⋮ Semiparametric models for capture-recapture studies with covariates ⋮ Existence and uniqueness of relative incidence estimates in case-series analysis ⋮ Nonparametric and robust methods. (Editorial)

Uses Software

• bootstrap

Cites Work

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• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Local Likelihood Estimation
• Best Subsets Logistic Regression
• Local Estimating Equations

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