Semiparametric nonlinear regression for detecting gene and environment interactions

DOI10.1016/j.jspi.2014.08.005zbMath1307.62248OpenAlexW2121733369MaRDI QIDQ464583

Shizhong Xu, Shujie Ma

Publication date: 27 October 2014

Published in: Journal of Statistical Planning and Inference (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jspi.2014.08.005

zbMATH Keywords

nonlinearitysemiparametric modelsscore testB-splinesG \(\times\) E interactionsprofile estimation

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) General nonlinear regression (62J02)

Related Items (5)

Robust estimation for varying index coefficient models ⋮ High-dimensional Varying Index Coefficient Quantile Regression Model ⋮ Robust variable selection for the varying index coefficient models ⋮ Generalized partial linear varying multi-index coefficient model for gene-environment interactions ⋮ Generalized varying index coefficient models

Cites Work

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• Empirical likelihood for single-index varying-coefficient models
• Testing for constant nonparametric effects in general semiparametric regression models with interactions
• Statistical inference for a single-index varying-coefficient model
• Local asymptotics for regression splines and confidence regions
• Quasi-likelihood functions
• Bayesian semiparametric analysis for two-phase studies of gene-environment interaction
• Semi-parametric estimation of partially linear single-index models
• Testing in Semiparametric Models with Interaction, with Applications to Gene–Environment Interactions
• Generalized Partially Linear Single-Index Models
• Efficient Estimation and Inferences for Varying-Coefficient Models
• Semiparametric Maximum Likelihood Methods for Analyzing Genetic and Environmental Effects with Case‐Control Mother–Child Pair Data
• Semiparametric maximum likelihood estimation exploiting gene-environment independence in case-control studies
• A practical guide to splines.

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