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Table 1 Percentage of bootstrapped risk difference estimates representing a meaningful change (± 0.01 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%

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BMC Medical Research Methodology

ISSN: 1471-2288

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