Influence Diagnostics for Correlated Binomial Regression Models: An Application to a Data Set on High-Cost Health Services Occurrence

DOI10.15446/rce.v44n2.85606zbMath1480.62154OpenAlexW3205740709MaRDI QIDQ5029403

Carlos Alberto Ribeiro Diniz, Rubiane M. Pires, Paulo H. Ferreira, Carolina Costa Mota Paraíba

Publication date: 14 February 2022

Published in: Revista Colombiana de Estadística (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.15446/rce.v44n2.85606

zbMATH Keywords

overdispersioninfluenceregressionresidualsgeneralized binomial distributionhealth care provider

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12) Diagnostics, and linear inference and regression (62J20)

Uses Software

• R

Cites Work

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• Bayesian analysis of a correlated binomial model
• Correlated binomial regression models
• A family of partially correlated Poisson models for overdispersion
• Case-deletion measures for models with incomplete data
• Outlier Detection Using Nonconvex Penalized Regression
• Spatial Statistics and Spatio‐Temporal Data
• Binary Regression Using an Extended Beta-Binomial Distribution, With Discussion of Correlation Induced by Covariate Measurement Errors
• A generalization of the binomial distribution

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