Generalized Estimating Equations for Ordinal Categorical Data: Arbitrary Patterns of Missing Responses and Missingness in a Key Covariate

DOI10.1111/j.0006-341X.1999.00488.xzbMath1059.62573WikidataQ30650138 ScholiaQ30650138MaRDI QIDQ4666593

Constantine A. Gatsonis, Alicia Y. Toledano

Publication date: 13 April 2005

Published in: Biometrics (Search for Journal in Brave)

zbMATH Keywords

repeated measuresgeneralized estimating equationsmissing dataordinal regressionverification biasordinal categorical datareceiver operating characteristic curves

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Generalized linear models (logistic models) (62J12)

Related Items (6)

The analysis of ordered categorical data: An overview and a survey of recent developments. (With discussion) ⋮ Modeling Clustered Ordered Categorical Data: A Survey ⋮ A general GEE framework for the analysis of longitudinal ordinal missing data and related issues ⋮ Estimation of the disease-specific diagnostic marker distribution under verification bias ⋮ Assessing discrimination of risk prediction rules in a clustered data setting ⋮ Assessing Discrimination of Risk Prediction Rules in a Clustered Data Setting

Cites Work

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• Longitudinal data analysis using generalized linear models
• The asymptotic effect of substituting estimators for parameters in certain types of statistics
• Inference and missing data
• Estimation of Regression Coefficients When Some Regressors Are Not Always Observed
• A Nonparametric Maximum Likelihood Estimator for the Receiver Operating Characteristic Curve Area in the Presence of Verification Bias
• The Analysis of Longitudinal Polytomous Data: Generalized Estimating Equations and Connections with Weighted Least Squares

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