Multiple imputation for missing values through conditional Semiparametric odds ratio models.
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ABSTRACT:
SUBMITTER: Chen HY
PROVIDER: S-EPMC3135790 | biostudies-literature | 2011 Sep
REPOSITORIES: biostudies-literature
Publications
Multiple imputation for missing values through conditional Semiparametric odds ratio models.
Chen Hua Yun HY Xie Hui H Qian Yi Y
Biometrics 20110106 3
Multiple imputation is a practically useful approach to handling incompletely observed data in statistical analysis. Parameter estimation and inference based on imputed full data have been made easy by Rubin's rule for result combination. However, creating proper imputation that accommodates flexible models for statistical analysis in practice can be very challenging. We propose an imputation framework that uses conditional semiparametric odds ratio models to impute the missing values. The propo ...[more]
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