Alternative computational formulae for generalized linear model diagnostics: identifying influential observations with SAS software

DOI10.1016/j.csda.2004.03.013zbMath1429.62323OpenAlexW2048833623MaRDI QIDQ957155

John S. Preisser, Daniel I. Garcia

Publication date: 26 November 2008

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

Full work available at URL: https://doi.org/10.1016/j.csda.2004.03.013

zbMATH Keywords

logistic regressionleverageCook's distance

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12) Diagnostics, and linear inference and regression (62J20)

Related Items (3)

Logistic regression diagnostics in ridge regression ⋮ Deletion diagnostics for generalized linear models using the adjusted Poisson likelihood function ⋮ A SAS/IML software program for GEE and regression diagnostics

Uses Software

• SAS
• PROC GENMOD
• PROC LOGISTIC
• SAS/STAT

Cites Work

• Unnamed Item
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• Logistic regression diagnostics
• Best Subsets Logistic Regression
• An extended quasi-likelihood function
• Generalized Linear Model Diagnostics Using the Deviance and Single Case Deletions
• Deletion diagnostics for generalised estimating equations
• Robust Regression for Clustered Data with Application to Binary Responses
• Generalized Estimating Equations

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