Assessing continuous bivariate effects among different groups through nonparametric regression models: an application to breast cancer detection

DOI10.1016/J.CSDA.2007.06.024zbMath1452.62548OpenAlexW1981156116MaRDI QIDQ1023529

Carmen Cadarso-Suárez, Pablo G. Tahoces, María José Lado, Javier Roca‐Pardiñas

Publication date: 12 June 2009

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

Full work available at URL: https://doi.org/10.1016/j.csda.2007.06.024

zbMATH Keywords

interactionsbootstrapkernel smoothingbreast cancergeneralized additive modelscomputer-aided diagnosis

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Related Items (3)

A semiparametric regression model for paired longitudinal outcomes with application in childhood blood pressure development ⋮ The affinity of set theory and abelian group theory. ⋮ Oracally efficient spline smoothing of nonlinear additive autoregression models with simultaneous confidence band

Uses Software

• SemiPar
• gamair

Cites Work

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• Direct generalized additive modeling with penalized likelihood.
• Derivative estimation and testing in generalized additive models
• Asymptotic properties of backfitting estimators
• Multivariate locally weighted least squares regression
• Generalized structured additive regression based on Bayesian P-splines
• Simple Incorporation of Interactions into Additive Models
• Semiparametric Regression
• Thin Plate Regression Splines
• NONPARAMETRIC ESTIMATION AND TESTING OF INTERACTION IN ADDITIVE MODELS
• BOOTSTRAP INFERENCE IN SEMIPARAMETRIC GENERALIZED ADDITIVE MODELS

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