Attributable Risk Percent

Problem

Return the attributable risk percent (RR - 1)/RR * 100, where RR is the risk ratio from the 2x2 table. Return 0.0 when a group is empty or the unexposed risk is zero.

Hint

It is the share of exposed cases that would be avoided without exposure.

Test cases

case 1

in: [30,70,10,90]

expected: 66.66666666666666

case 2

in: [20,80,20,80]

expected: 0

case 3

in: [50,50,10,90]

expected: 80

case 4

in: [10,90,20,80]

expected: -100

case 5

in: [0,10,5,5]

expected: 0

Starter codePython

def attributable_risk_percent(a, b, c, d):
    # Your code here
    pass

5 test cases · run your code against them in the editor