Analysis of longitudinal ordinal data using semi-parametric mixed model under missingness
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Publication:5042156
DOI10.1080/03610918.2020.1778031OpenAlexW3041318347MaRDI QIDQ5042156
Publication date: 18 October 2022
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2020.1778031
Cites Work
- Unnamed Item
- Missing responses in generalised linear mixed models when the missing data mechanism is nonignorable
- Joint Models for Longitudinal and Time-to-Event Data
- Maximum Likelihood Methods for Nonignorable Missing Responses and Covariates in Random Effects Models
- Semiparametric Stochastic Mixed Models for Longitudinal Data
- Missing Covariates in Generalized Linear Models When the Missing Data Mechanism is Non-ignorable
- Weighted Estimating Equations with Nonignorably Missing Response Data
- Maximum Likelihood Algorithms for Generalized Linear Mixed Models
- Estimation in a semiparametric model for longitudinal data with unspecified dependence structure
- Semiparametric Regression for Clustered Data Using Generalized Estimating Equations
- A Weighted Estimating Equation for Missing Covariate Data with Properties Similar to Maximum Likelihood
- Semiparametric Models for Longitudinal Data with Application to CD4 Cell Numbers in HIV Seroconverters
- A lack-of-fit test for parametric zero-inflated Poisson models
- Weighted Generalized Estimating Functions for Longitudinal Response and Covariate Data That Are Missing at Random
- Linear and Generalized Linear Models and their Applications by J. JIANG
- A Mixed‐Effects Regression Model for Longitudinal Multivariate Ordinal Data
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