Testing the Correlation for Clustered Categorical and Censored Discrete Time-to-Event Data When Covariates Are Measured without/with Errors

DOI10.1111/1541-0420.00004zbMath1210.62134OpenAlexW2070017122WikidataQ30796226 ScholiaQ30796226MaRDI QIDQ3079071

Yi Li, Xihong Lin

Publication date: 1 March 2011

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: http://hdl.handle.net/2027.42/92373

zbMATH Keywords

longitudinal datascore testrandom effectsvariance componentsclustered datafrailty modelsSIMEXgrouped survival datapolytomous responses

Mathematics Subject Classification ID

Related Items (1)

Bias analysis and the simulation-extrapolation method for survival data with covariate measurement error under parametric proportional odds models

Cites Work

• A Mixed-Model Procedure for Analyzing Ordered Categorical Data
• Asymptotic Properties of Maximum Likelihood Estimators and Likelihood Ratio Tests Under Nonstandard Conditions
• Simulation-Extrapolation Estimation in Parametric Measurement Error Models
• Variance component testing in generalised linear models with random effects
• SIMEX Variance Component Tests in Generalized Linear Mixed Measurement Error Models
• Modeling the Relationship of Survival to Longitudinal Data Measured with Error. Applications to Survival and CD4 Counts in Patients with AIDS
• Tests for Variation Over Groups in Survival Data
• Test of Homogeneity of Binary Data with Explanatory Variables
• A Random-Effects Ordinal Regression Model for Multilevel Analysis
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