Checking linearity of non-parametric component in partially linear models with an application in systemic inflammatory response syndrome study

DOI10.1191/0962280206sm440oazbMath1122.62312OpenAlexW2068331429WikidataQ83973106 ScholiaQ83973106MaRDI QIDQ5424979

Hua Liang

Publication date: 7 November 2007

Published in: Statistical Methods in Medical Research (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1191/0962280206sm440oa

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (2)

Conditional variance model checking ⋮ Local influence for Student-\(t\) partially linear models

Uses Software

• SemiPar

Cites Work

• Convergence rates for partially splined models
• Comparing nonparametric versus parametric regression fits
• Nonparametric model checks for regression
• Nonparametric smoothing and lack-of-fit tests
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Model checks for regression: an innovation process approach
• Generalized likelihood ratio statistics and Wilks phenomenon
• Root-N-Consistent Semiparametric Regression
• Semiparametric Regression
• Likelihood Ratio Tests in Linear Mixed Models with One Variance Component
• Semiparametric Models for Longitudinal Data with Application to CD4 Cell Numbers in HIV Seroconverters
• Exact likelihood ratio tests for penalised splines
• Estimation in Partially Linear Models With Missing Covariates

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