Incorporating Marginal Covariate Information in a Nonparametric Regression Model for a Sample of R×C Tables

DOI10.1111/J.1541-0420.2008.00997.XzbMath1152.62021OpenAlexW2112329065WikidataQ37294952 ScholiaQ37294952MaRDI QIDQ3549393

Joan G. Staniswalis

Publication date: 22 December 2008

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.1541-0420.2008.00997.x

zbMATH Keywords

randomized responseecological inferencep-splinesincomplete \(R\times C\) tables

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Applications of statistics to environmental and related topics (62P12) Contingency tables (62H17)

Uses Software

• SAS
• EI

Cites Work

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• A statistical perspective on ill-posed inverse problems (with discussion)
• Smoothing splines: Regression, derivatives and deconvolution
• On fitting generalized non-linear models with varying coefficients
• Functional data analysis
• Statistical estimation in varying coefficient models
• Flexible smoothing with \(B\)-splines and penalties. With comments and a rejoinder by the authors
• Local Asymptotics for B-Spline Estimators of the Varying Coefficient Model
• Bayesian and Frequentist Inference for Ecological Inference: The RxC Case
• A Statistical Framework for Ecological and Aggregate Studies
• Aggregate data studies of disease risk factors

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