Chi-Square Statistics with Multiple Imputation
نویسندگان
چکیده
منابع مشابه
Methods for significance testing of categorical covariates in logistic regression models after multiple imputation: power and applicability analysis
BACKGROUND Multiple imputation is a recommended method to handle missing data. For significance testing after multiple imputation, Rubin's Rules (RR) are easily applied to pool parameter estimates. In a logistic regression model, to consider whether a categorical covariate with more than two levels significantly contributes to the model, different methods are available. For example pooling chi-...
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