A comparison of ordinal logistic regression models using Classical and Bayesian approaches in an analysis of factors associated with diabetic retinopathy

DOI10.1080/02664763.2016.1140725OpenAlexW2337248528MaRDI QIDQ5138156

No author found.

Publication date: 3 December 2020

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

Full work available at URL: https://doi.org/10.1080/02664763.2016.1140725

zbMATH Keywords

link functionsordinal logistic regressiondiabetic retinopathy

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• SAS

Cites Work

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• An Introduction to Categorical Data Analysis
• Partial Proportional Odds Models for Ordinal Response Variables
• A Comparison of Regression Models for the Analysis of Ordered Categorical Data

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