TY - JOUR
T1 - Multiple imputation for missing ordinal data
AU - Chen, Ling
AU - Valois, Robert F.
AU - Toma-Drane, Mariana
AU - Drane, J. Wanzer
PY - 2005/5
Y1 - 2005/5
N2 - 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.
AB - 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.
KW - Complete case analysis
KW - Missing data mechanism
KW - Multiple logistic regression
UR - http://www.scopus.com/inward/record.url?scp=22944486330&partnerID=8YFLogxK
U2 - 10.22237/jmasm/1114907160
DO - 10.22237/jmasm/1114907160
M3 - Article
AN - SCOPUS:22944486330
SN - 1538-9472
VL - 4
SP - 288
EP - 299
JO - Journal of Modern Applied Statistical Methods
JF - Journal of Modern Applied Statistical Methods
IS - 1
ER -