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Table 1 Percentage of bootstrapped risk difference estimates representing a meaningful change0.01 change) for each variable in the empirical example

From: Combining directed acyclic graphs and the change-in-estimate procedure as a novel approach to adjustment-variable selection in epidemiology

For Figure 13    
Add-one variables Minus-one variables
Sex 28.4% Age 95.3%
Type of peritoneal dialysis 37.1% Comorbidity index 98.6%
Type of assistance 99.6%   
For Figure 14    
Add-one variables Minus-one variables
Type of peritoneal dialysis 15.2% Age 38.3%
   Comorbidity index 58.8%
   Sex 75.9%
   Type of assistance 100.0%