Analysis of two-part random effects model for semi-ordinal longitudinal response. Abbreviated title: semi-ordinal random effects model
From MaRDI portal
Publication:6635374
DOI10.1007/S13571-024-00327-XMaRDI QIDQ6635374
Could not fetch data.
Publication date: 9 November 2024
Published in: Sankhyā. Series B (Search for Journal in Brave)
Cites Work
- Estimation of Relationships for Limited Dependent Variables
- Random-Effects Models for Longitudinal Data
- High breakdown-point and high efficiency robust estimates for regression
- Analysis of zero-adjusted count data
- Testing parameter of the power series distribution of a zero inflated power series model
- Tobit models: A survey
- Maximum likelihood estimation of multivariate polyserial and polychoric correlation coefficients
- A note on the identifiability of latent variable models for mixed longitudinal data
- Zero-inflated power series joint model to analyze count data with missing responses
- Test equating, scaling, and linking. Methods and practices
- Mixed Correlated Bivariate Ordinal and Negative Binomial Longitudinal Responses with Nonignorable Missing Values
- Bayesian Tobit Modeling of Longitudinal Ordinal Clinical Trial Compliance Data With Nonignorable Missingness
- Least Median of Squares Regression
- Marginal models for zero inflated clustered data
- Sampling-Based Approaches to Calculating Marginal Densities
- INFERENCE ABOUT THE MEAN OF A POISSON DISTRIBUTION IN THE PRESENCE OF A NUISANCE PARAMETER
- General mixed-data model: Extension of general location and grouped continuous models
- The zero-inflated negative binomial regression model with correction for misclassification: an example in caries research
- Accurate Approximations for Posterior Moments and Marginal Densities
- Zero-Inflated Poisson Regression, with an Application to Defects in Manufacturing
- Shadow Prices, Market Wages, and Labor Supply
- Regression Models for Mixed Discrete and Continuous Responses with Potentially Missing Values
- Estimation of a Panel Data Sample Selection Model
- A Two-Part Random-Effects Model for Semicontinuous Longitudinal Data
- Score Test for Zero Inflated Generalized Poisson Regression Model
- A Correlated Probit Model for Joint Modeling of Clustered Binary and Continuous Responses
- Comparison of Several Independent Population Means When Their Samples Contain Log‐Normal and Possibly Zero Observations
- A Scaled Linear Mixed Model for Multiple Outcomes
- Zero‐Inflated Poisson and Binomial Regression with Random Effects: A Case Study
- Approximate Inference in Generalized Linear Mixed Models
- Moments of Certain Deformed Probability Distributions
- A Score Test for Zero Inflation in a Poisson Distribution
- Zero‐Altered and other Regression Models for Count Data with Added Zeros
- Regression Models for a Bivariate Discrete and Continuous Outcome with Clustering
- Approximations to Multivariate Normal Rectangle Probabilities Based on Conditional Expectations
- Gaussian copula-based zero-inflated power series joint models to analyze correlated count data
- Analysis of mixed correlated bivariate zero-inflated count and(k,l)-inflated beta responses with application to social network datasets
- Statistical monitoring of binary response attributed social networks considering random effects
- Exponentiated power Lindley power series class of distributions: Theory and applications
- Joint modeling of longitudinal count and time-to-event data with excess zero using accelerated failure time model: an application with CD4 cell counts
- Bayesian latent variable model for mixed continuous and ordinal responses with possibility of missing responses
- A latent variable model for analyzing mixed longitudinal (k,l)-inflated count and ordinal responses
- Repeated measures with zeros
- Mixture models for quantitative HIV RNA data
- Analysis of repeated measures data with clumping at zero
- Robust Estimation of a Location Parameter
- Monte Carlo sampling methods using Markov chains and their applications
- Random effect models for repeated measures of zero-inflated count data
- Multivariate Correlation Models with Mixed Discrete and Continuous Variables
- Joint (k, l)-hurdle random effects models for mixed longitudinal power series and normal outcomes
- Zero-inflated Poisson model in statistical process control.
- Title not available (Why is that?)
- Title not available (Why is that?)
- Title not available (Why is that?)
This page was built for publication: Analysis of two-part random effects model for semi-ordinal longitudinal response. Abbreviated title: semi-ordinal random effects model
Report a bug (only for logged in users!)Click here to report a bug for this page (MaRDI item Q6635374)
