Estimating Equations with Nonignorably Missing Response Data

DOI10.1111/J.0006-341X.1999.00984.XzbMath1059.62602OpenAlexW2038545722WikidataQ30649733 ScholiaQ30649733MaRDI QIDQ4666687

You-Gan Wang

Publication date: 13 April 2005

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/j.0006-341x.1999.00984.x

zbMATH Keywords

likelihoodconsistencypartial likelihoodefficiencyconditioningestimating functionsbiased samplingnonignorably missing

Mathematics Subject Classification ID

Applications of statistics to biology and medical sciences; meta analysis (62P10) Estimation in survival analysis and censored data (62N02)

Related Items (6)

Semiparametric inference for estimating equations with nonignorably missing covariates ⋮ Empirical likelihood confidence region for parameters in linear errors-in-variables models with missing data ⋮ Semiparametric analysis of randomized response data with missing covariates in logistic regression ⋮ Semiparametric likelihood for estimating equations with non-ignorable non-response by non-response instrument ⋮ Handling estimating equation with nonignorably missing data based on SIR algorithm ⋮ Orthogonal Locally Ancillary Estimating Functions with Application to Stratified Clustered Data

Cites Work

• Quasi-Likelihood and Optimal Estimation, Correspondent Paper
• Partial likelihood
• A Quasi-Likelihood Approach for Ordered Categorical Data with Overdispersion
• Estimating Equations for Measures of Association between Repeated Binary Responses
• Weighted Estimating Equations with Nonignorably Missing Response Data
• A Generalized Estimating Equation Approach for Modeling Random Length Binary Vector Data
• An Application of retrospective sampling in the analysis of a very large clustered data set
• The Generalized Estimating Equation Approach When Data Are Not Missing Completely at Random
• Analysis of Semiparametric Regression Models for Repeated Outcomes in the Presence of Missing Data

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