A smoothed residual based goodness-of-fit statistic for logistic hierarchical regression models

DOI10.1016/j.csda.2006.03.008zbMath1161.62355OpenAlexW2035592086MaRDI QIDQ1020028

David W. jun. Hosmer, Rodney X. Sturdivant

Publication date: 29 May 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.2006.03.008

zbMATH Keywords

kernel smoothinglogistic regressiongoodness-of-fitresidualshierarchical models

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Nonparametric hypothesis testing (62G10) Asymptotic properties of nonparametric inference (62G20) Generalized linear models (logistic models) (62J12)

Related Items (3)

Comparison of methods of estimation for a goodness of fit test – an analytical and simulation study ⋮ A Goodness of Fit Test for the Multilevel Logistic Model ⋮ Comparative Study of Generalized Estimating Equations and Logistic Regressions on Different Sample Sizes and Correlation Levels

Uses Software

• KernSmooth

Cites Work

• Some diagnostics for binary logistic regression via smoothing
• Normal Goodness-of-Fit Tests for Multinomial Models with Large Degrees of Freedom
• Maximum Likelihood Approaches to Variance Component Estimation and to Related Problems
• Approximate Inference in Generalized Linear Mixed Models
• A Goodness-of-Fit Test for Binary Regression Models, Based on Smoothing Methods
• Improved Approximations for Multilevel Models with Binary Responses
• Generalized linear mixed models a pseudo-likelihood approach
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