The multinomial logistic regression model for predicting the discharge status after liver transplantation: estimation and diagnostics analysis

DOI10.1080/02664763.2019.1706725OpenAlexW2997394677MaRDI QIDQ5037006

Edwin M. M. Ortega, Elizabeth M. Hashimoto, Michael W. Kattan, Adriano K. Suzuki

Publication date: 25 February 2022

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/02664763.2019.1706725

zbMATH Keywords

multinomial distributionregression modelcategorical datadiagnostic analysisnominal response

Mathematics Subject Classification ID

Applications of statistics (62Pxx)

Uses Software

• OxMetrics
• R
• rjags
• bootstrap
• bootlib

Cites Work

• Bootstrap methods: another look at the jackknife
• Robust Bayesian analysis using divergence measures
• Bootstrap confidence intervals. With comments and a rejoinder by the authors
• Markov Chain Monte Carlo Convergence Diagnostics: A Comparative Review
• An Introduction to Categorical Data Analysis
• Influence diagnostics for censored regression models with autoregressive errors
• Bayesian analysis of outlier problems using divergence measures
• Influence diagnostics in heteroscedastic and/or autoregressive nonlinear elliptical models for correlated data
• The log-odd log-logistic Weibull regression model: modelling, estimation, influence diagnostics and residual analysis
• Influence diagnostics for elliptical semiparametric mixed models
• Bayesian survival analysis
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