Skip to main content

Table 1 A hypothetical population with positive/negative confounding U

From: Detecting and correcting the bias of unmeasured factors using perturbation analysis: a data-mining approach

Level of U (i)

Population number (m i )

Positive confounding

Negative confounding

Exposure prevalence (p i )

Disease risk among the unexposed ( r i u )

Relative risk ( r i e / r i u )

Exposure prevalence (p i )

Disease risk among the unexposed ( r i u )

Relative risk ( r i e / r i u )

1

2,500

0.76

0.6667

1.2632

0.24

0.4737

1.7593

2

2,500

0.60

0.4000

1.1667

0.40

0.3333

2.4000

3

2,500

0.40

0.3333

1.2000

0.60

0.2000

2.3333

4

2,500

0.24

0.1579

1.0556

0.76

0.1667

1.8947

Total

10,000

Crude relative risk (crude RR) = 1.75

Crude relative risk (crude RR) = 1.53

Standardized relative risk (SRR) = 1.20

Standardized relative risk (SRR) = 2.06