Working with missing data: imputation of nonresponse items in categorical survey data with a non-monotone missing pattern

DOI10.1155/2014/368791zbMath1442.62031DBLPjournals/jam/WilsonL14OpenAlexW2050466199WikidataQ59051112 ScholiaQ59051112MaRDI QIDQ2336377

Machelle D. Wilson, Kerstin Lueck

Publication date: 19 November 2019

Published in: Journal of Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2014/368791

Mathematics Subject Classification ID

Applications of statistics to social sciences (62P25) Sampling theory, sample surveys (62D05) Missing data (62D10)

Uses Software

• BayesDA

Cites Work

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• Bartlett's decomposition of the posterior distribution of the covariance for normal monotone ignorable missing data
• Multiple Imputation After 18+ Years
• Imputation using markov chains
• The Calculation of Posterior Distributions by Data Augmentation
• Miscellanea. Small-sample degrees of freedom with multiple imputation
• Sensitivity analysis of longitudinal binary data with non-monotone missing values
• Imputation procedures for categorical data: their effects on the goodness-of-fit chi-square statistic

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