Analysing Survey Data with Incomplete Responses by Using a Method Based on Empirical Likelihood

DOI10.1111/J.1467-9876.2006.00542.XzbMath1490.62043OpenAlexW1980074309MaRDI QIDQ5757835

Denis Heng-Yan Leung, Jing Qin

Publication date: 7 September 2007

Published in: Journal of the Royal Statistical Society Series C: Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://ink.library.smu.edu.sg/soe_research/107

Mathematics Subject Classification ID

Sampling theory, sample surveys (62D05)

Cites Work

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• Maximum Likelihood Analysis of Logistic Regression Models with Incomplete Covariate Data and Auxiliary Information
• Maximum Likelihood Estimation of Bivariate Logistic Models for Incomplete Responses with Indicators of Ignorable and Non-Ignorable Missingness
• Using Auxiliary Data for Parameter Estimation with Non-Ignorably Missing Outcomes
• A Unified Approach to Regression Analysis Under Double-Sampling Designs

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