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

Cites Work

Title not available (Why is that?)
Title not available (Why is that?)
Estimation of a covariance matrix using the reference prior
Extending ordinal regression with a latent zero-augmented beta distribution
The analysis of ordered categorical data: An overview and a survey of recent developments. (With discussion)
Multilevel ordinal models for examination grades
Partial Proportional Odds Models for Ordinal Response Variables
Missing Data in Longitudinal Studies
A proportional odds model with subject-specific effects for repeated ordered categorical responses
Bayesian Measures of Model Complexity and Fit
Modeling Clustered Ordered Categorical Data: A Survey
A Random-Effects Ordinal Regression Model for Multilevel Analysis
Bayesian analysis of longitudinal ordered data with flexible random effects using McMC: application to diabetic macular Edema data
Bayesian Analysis of Binary and Polychotomous Response Data
Marginal regression models for clustered count data based on zero‐inflated Conway–Maxwell–Poisson distribution with applications
A Bayesian Approach for Clustered Longitudinal Ordinal Outcome With Nonignorable Missing Data
Analyzing longitudinal clustered count data with zero inflation: Marginal modeling using the Conway–Maxwell–Poisson distribution
A longitudinal Bayesian mixed effects model with hurdle Conway-Maxwell-Poisson distribution
Non-parametric spatial models for clustered ordered periodontal data
A hierarchical mixed effect hurdle model for spatiotemporal count data and its application to identifying factors impacting health professional shortages

This page was built for publication: Analyzing dental fluorosis data using a novel Bayesian model for clustered longitudinal ordinal outcomes with an inflated category

Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6629962)