Regression analysis of logistic model with latent variables

DOI10.1002/sim.9647zbMATH Open1548.6249MaRDI QIDQ6629970

Deng Pan, Zhongchun Liu, Yuan Ye, Yuan Shan Wu

Publication date: 30 October 2024

Published in: Statistics in Medicine (Search for Journal in Brave)

zbMATH Keywords

latent variableconfirmatory factor analysiscorrected scorestructural equationhybrid estimation procedure

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10)

Cites Work

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• The asymptotic normal distribution of estimators in factor analysis under general conditions
• The asymptotic distributions of some estimators for a factor analysis model
• Joint modeling of longitudinal and cure-survival data
• Maximum Likelihood Analysis of a General Latent Variable Model with Hierarchically Mixed Data
• A Simple Corrected Score for Logistic Regression with Errors-in-Covariates
• Unbiased estimation of a nonlinear function a normal mean with application to measurement err oorf models
• A Joint Model for Longitudinal Measurements and Survival Data in the Presence of Multiple Failure Types
• A note on a goodness-of-fit test for the logistic regression model
• Consistent Functional Methods for Logistic Regression With Errors in Covariates
• Basic and Advanced Bayesian Structural Equation Modeling
• Latent Variable Models with Mixed Continuous and Polytomous Data
• Regression Analysis of Additive Hazards Model With Latent Variables
• Structural Equation Modeling
• Joint analysis of mixed types of outcomes with latent variables

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