Estimates of the marginal mean of the normally distributed outcome variable and the regression coefficient under four analysis methods for a single simulated dataset (n = 500, m = 300, δ = 1). (DOCX 18 kb
Supplementary material for Multiple imputation for patient reported outcome measures in randomised c...
Information on (Text S1) and results of (Figure S2 and Tables S1-4) the analyses reproduced in the m...
Additional file 1: Figure S1. The process of the multiple imputations approach (e.g., the number ofm...
Estimates of the marginal mean of the normally distributed outcome variable and the regression coeff...
Procedure for performing a simulation study for a normally distributed outcome. (DOCX 31 kb
Graphical procedure for selecting a range for δ (top). Top left panel: histogram of the sum of imput...
Graphical diagnostics for a single simulated dataset (n = 500, m = 300, δ(True) = 1, μ (True) = 0, ...
Procedure for performing a simulation study for a binary outcome variable. (DOCX 31 kb
Graphical diagnostics for a single simulated dataset (n = 500, m = 300, δ(True) = 0.2, μ(True) = 0, ...
Graphical diagnostics for a single simulated dataset (n = 500, m = 300, δ(True) =0.5, μ(True) =0, μ ...
Graphical procedure for selecting a range for δ (top). Top left panel: histogram of the sum of imput...
Graphical diagnostics for a single simulated dataset (n = 1000, m = 500, δ(True) = 0.2, μ(True) = 0,...
âSupplementary material: simulation designâ. Variable definitions and coefficients for data gene...
Supplementary materials for âA Nonparametric Multiple Imputation Approach for Missing Categorical ...
Simulation code file 1 of 4. Generate data and obtain true estimates (making sure the simulations wo...
Supplementary material for Multiple imputation for patient reported outcome measures in randomised c...
Information on (Text S1) and results of (Figure S2 and Tables S1-4) the analyses reproduced in the m...
Additional file 1: Figure S1. The process of the multiple imputations approach (e.g., the number ofm...
Estimates of the marginal mean of the normally distributed outcome variable and the regression coeff...
Procedure for performing a simulation study for a normally distributed outcome. (DOCX 31 kb
Graphical procedure for selecting a range for δ (top). Top left panel: histogram of the sum of imput...
Graphical diagnostics for a single simulated dataset (n = 500, m = 300, δ(True) = 1, μ (True) = 0, ...
Procedure for performing a simulation study for a binary outcome variable. (DOCX 31 kb
Graphical diagnostics for a single simulated dataset (n = 500, m = 300, δ(True) = 0.2, μ(True) = 0, ...
Graphical diagnostics for a single simulated dataset (n = 500, m = 300, δ(True) =0.5, μ(True) =0, μ ...
Graphical procedure for selecting a range for δ (top). Top left panel: histogram of the sum of imput...
Graphical diagnostics for a single simulated dataset (n = 1000, m = 500, δ(True) = 0.2, μ(True) = 0,...
âSupplementary material: simulation designâ. Variable definitions and coefficients for data gene...
Supplementary materials for âA Nonparametric Multiple Imputation Approach for Missing Categorical ...
Simulation code file 1 of 4. Generate data and obtain true estimates (making sure the simulations wo...
Supplementary material for Multiple imputation for patient reported outcome measures in randomised c...
Information on (Text S1) and results of (Figure S2 and Tables S1-4) the analyses reproduced in the m...
Additional file 1: Figure S1. The process of the multiple imputations approach (e.g., the number ofm...
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