ORTH.Ord: An R package for analyzing correlated ordinal outcomes using alternating logistic regressions with orthogonalized residuals-Reference-Cited by-同舟云学术

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ORTH.Ord: An R package for analyzing correlated ordinal outcomes using alternating logistic regressions with orthogonalized residuals

Published:2023-07 Issue: Volume:237 Page:107567
ISSN:0169-2607
Container-title:Computer Methods and Programs in Biomedicine
language:en
Short-container-title:Computer Methods and Programs in Biomedicine

Author:

Meng Can^ORCID,Ryan Mary,Rathouz Paul J.,Turner Elizabeth L.^ORCID,Preisser John S.^ORCID,Li Fan^ORCID

Funder

Patient-Centered Outcomes Research Institute

Publisher

Elsevier BV

Subject

Health Informatics,Computer Science Applications,Software

Reference68 articles.

1. A random-effects models for ordered categorical data;Crouchley;J. Am. Stat. Assoc.,1995

2. A mixed-model procedure for analyzing ordered categorical data;Harville;Biometrics,1984

3. A random-effect ordinal regression model for multilevel analysis;Hedeker;Biometrics,1994

4. A mixed effects model for multivariate ordinal response data including correlated discrete failure times with ordinal responses;Ten Have;Biometrics,1996

5. Regression models for ordinal data;McCullagh;J. R. Stat. Soc., Ser. B,1980

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. ORTH.Ord: Alternating Logistic Regression with Orthogonalized Residuals for Correlated Ordinal Outcomes;CRAN: Contributed Packages;2024-08-26

2. Priority Needs for Facilities of Office Buildings in Thailand: A Copula-Based Ordinal Regression Model with Machine Learning Approach;Buildings;2024-03-08

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