Influence diagnostics in mixed effects logistic regression models

DOI10.1007/s11749-018-0613-3zbMath1420.62322OpenAlexW2889945803WikidataQ126078588 ScholiaQ126078588MaRDI QIDQ2273186

Alejandra Tapia, Víctor Leiva, Viviana Giampaoli, María del Pilar Díaz

Publication date: 18 September 2019

Published in: Test (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11749-018-0613-3

zbMATH Keywords

correlated binary responsesR softwareprobability of successapproximation of integralsMetropolis-Hastings and Monte Carlo methods

Mathematics Subject Classification ID

Generalized linear models (logistic models) (62J12) Diagnostics, and linear inference and regression (62J20)

Related Items (3)

On a logistic regression model with random intercept: diagnostic analytics, simulation and biological application ⋮ On a new mixture-based regression model: simulation and application to data with high censoring ⋮ Asymmetric autoregressive models: statistical aspects and a financial application under COVID-19 pandemic

Uses Software

• R
• aplore3

Cites Work

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