![]() 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.3.4.1 Bayesian Stochastic regression imputation in SPSS.3.4 Bayesian Stochastic regression imputation.3.3.4 Stochastic regression imputation in R.2.8.2 Compare and test group comparisons.2.7.2 Compare and test group comparisons.II Part II: Basic Missing Data Handling.1.15 Useful Missing data Packages and links.1.6.4 Indexing Vectors, Matrices, Lists and Data frames.1.6.3 Vectors, matrices, lists and data frames. ![]()
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