Residuals and Diagnostics for Ordinal Regression Models: A Surrogate Approach-Reference-Cited by-同舟云学术

Residuals and Diagnostics for Ordinal Regression Models: A Surrogate Approach

Published:2018-04-03 Issue:522 Volume:113 Page:845-854
ISSN:0162-1459
Container-title:Journal of the American Statistical Association
language:en
Short-container-title:Journal of the American Statistical Association

Author:

Liu Dungang¹,Zhang Heping²

Affiliation:

1. Department of Operations, Business Analytics and Information Systems, Carl H. Lindner College of Business, University of Cincinnati, Cincinnati, OH

2. Department of Biostatistics, School of Public Health, Yale University, New Haven, CT

Funder

National Institute on Drug Abuse

National Institutes of Health

Publisher

Informa UK Limited

Subject

Statistics, Probability and Uncertainty,Statistics and Probability

Link

https://www.tandfonline.com/doi/pdf/10.1080/01621459.2017.1292915

Reference17 articles.

1. Model-checking techniques for stratified case-control studies

2. A genome-wide association study of alcohol dependence

3. Randomized Quantile Residuals

4. Prediction of Functional Status for the Elderly Based on a New Ordinal Regression Model

5. Parametric links for binary choice models: A Fisherian–Bayesian colloquy

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