Analyzing dental fluorosis data using a novel Bayesian model for clustered longitudinal ordinal outcomes with an inflated category-Reference-Cited by-同舟云学术

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Analyzing dental fluorosis data using a novel Bayesian model for clustered longitudinal ordinal outcomes with an inflated category

Published:2022-12-27 Issue:6 Volume:42 Page:745-760
ISSN:0277-6715
Container-title:Statistics in Medicine
language:en
Short-container-title:Statistics in Medicine

Author:

Kang Tong¹,Gaskins Jeremy²,Levy Steven³,Datta Somnath⁴^ORCID

Affiliation:

1. Global Biometic Data Sciences Oncology, Bristol Myers Squibb Lawrenceville New Jersey

2. Department of Bioinformatics and Biostatistics University of Louisville Louisville Kentucky

3. Department of Preventive and Community Dentistry University of Iowa Iowa City Iowa

4. Department of Biostatistics University of Florida Gainesville Florida

Funder

National Institute of Dental and Craniofacial Research

Publisher

Wiley

Subject

Statistics and Probability,Epidemiology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sim.9641

Reference28 articles.

1. The analysis of ordered categorical data: An overview and a survey of recent developments

2. Regression models for ordinal responses: a review of methods and applications

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

4. Partial Proportional Odds Models for Ordinal Response Variables

5. Extending Ordinal Regression with a Latent Zero-Augmented Beta Distribution

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1. Improving Individualized Treatment Decisions: A Bayesian Multivariate Hierarchical Model for Developing a Treatment Benefit Index using Mixed Types of Outcomes;2023-11-18

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