Multiple Imputation for Missing Values through Conditional Semiparametric Odds Ratio Models
نویسندگان
چکیده
منابع مشابه
Multiple imputation for missing values through conditional Semiparametric odds ratio models.
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 f...
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ژورنال
عنوان ژورنال: Biometrics
سال: 2011
ISSN: 0006-341X
DOI: 10.1111/j.1541-0420.2010.01538.x