5.2.1 Pooling Means and Standard deviations in SPSS.5 Data analysis after Multiple Imputation.IV Part IV: Data Analysis After Multiple Imputation.4.14 Number of Imputed datasets and iterations.4.13 Imputation of categorical variables.4.12.1 Predictive Mean Matching, how does it work?.4.12 Predictive Mean Matching or Regression imputation.4.10 Guidelines for the Imputation model.4.4 The output of Multiple imputation in SPSS.4.1 Multivariate imputation by chained equations (MICE).3.4.2 Bayesian Stochastic regression imputation in R. ![]()
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