ArticleJournal of the American Statistical Association2018
Residuals and Diagnostics for Ordinal Regression Models: A Surrogate Approach.
Article in Journal of the American Statistical Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
What it found
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A genome-wide association study of social trust in 33,882 Danish blood donors.Scientific reports · 2024Pooled it
- Modeling the relationship between sensory attributes and liking using generalized additive mixed models: a case study of plant-based meat alternatives.NPJ science of food · 2026Article
- Educational Apps and Dog Behavioural Problem Prevention: Associations Between the Zigzag Dog-Training App and Behavioural Problems.Animals : an open access journal from MDPI · 2025Article
- Diagnostics for categorical response models based on quantile residuals and distance measures.Journal of applied statistics · 2025Article
- A domain-oriented approach to characterizing movement-evoked pain.Pain reports · 2024Article
- HIV, multimorbidity, and health-related quality of life in rural KwaZulu-Natal, South Africa: A population-based study.PloS one · 2024Article
- A new goodness-of-fit measure for probit models: Surrogate RThe British journal of mathematical and statistical psychology · 2023Article
- A Correlated Network Scale-up Model: Finding the Connection Between Subpopulations.Journal of the American Statistical Association · 2023Article
- Article
- Surrogate Residuals for Discrete Choice Models.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2021Article
- A New Procedure to Assess When Estimates from the Cumulative Link Model Can Be Interpreted as Differences for Ordinal Scales in Quality of Life Studies.Clinical epidemiology · 2021Article
- Use of Modern Regression Analysis in the Dielectric Properties of Foods.Foods (Basel, Switzerland) · 2020Article
- Network meta-regression for ordinal outcomes: Applications in comparing Crohn's disease treatments.Statistics in medicine · 2020Article
- PResiduals: An R Package for Residual Analysis Using Probability-Scale Residuals.Journal of statistical software · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Ordinal outcomes are common in scientific research and everyday practice, and we often rely on regression models to make inference. A long-standing problem with such regression analyses is the lack of effective diagnostic tools for validating model assumptions. The difficulty arises from the fact that an ordinal variable has discrete values that are labeled with, but not, numerical values. The values merely represent ordered categories. In this paper, we propose a surrogate approach to defining residuals for an ordinal outcome
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.