Multiple Imputation For Missing Ordinal Data
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May 1, 2005
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Ling Chen
University of Arizona
Mariana Toma-Drane
University of South Carolina
Robert F. Valois
University of South Carolina
J. Wanzer Drane
University of South Carolina
Abstract
Simulations were used to compare complete case analysis of ordinal data with including multivariate normal imputations. MVN methods of imputation were not as good as using only complete cases. Bias and standard errors were measured against coefficients estimated from logistic regression and a standard data set.
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