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Table 4 Probability (P) and standard deviation (SD) for rejection of the null-hypothesis, i.e. power for variables above dashed line and type I error for variables below dashed line, from data based simulation

From: Methods for significance testing of categorical covariates in logistic regression models after multiple imputation: power and applicability analysis

  1. aFor the categorical variables the overall p-value could not be obtained by RR; RR Rubin’s Rules, MR Meng and Rubin pooling, CHI chi-square test with multiple degrees of freedom, VAR pooled sampling variance method, MPR out Median P Rule with the outcome excluded from model