Attributable risk percent
34,190pages on
this wiki
this wiki
Revision as of 10:55, September 28, 2012 by Dr Joe Kiff (Talk  contribs)
Attributable risk percent (ARP) is a calculation that can be derived from attributable risk.^{[1]}
It gives the portion of cases attributable (and avoidable) to this exposure in relation to all cases.
It can be calculated as (relative risk  1) / relative risk.^{[1]}
Worked example
Example 1: risk reduction  Example 2: risk increase  

Experimental group (E)  Control group (C)  Total  (E)  (C)  Total  
Events (E)  EE = 15  CE = 100  115  EE = 75  CE = 100  175 
Nonevents (N)  EN = 135  CN = 150  285  EN = 75  CN = 150  225 
Total subjects (S)  ES = EE + EN = 150  CS = CE + CN = 250  400  ES = 150  CS = 250  400 
Event rate (ER)  EER = EE / ES = 0.1, or 10%  CER = CE / CS = 0.4, or 40%  EER = 0.5 (50%)  CER = 0.4 (40%) 
Equation  Variable  Abbr.  Example 1  Example 2 

CER − EER  < 0: absolute risk reduction  ARR  (−)0.3, or (−)30%  N/A 
> 0: absolute risk increase  ARI  N/A  0.1, or 10%  
(CER − EER) / CER  < 0: relative risk reduction  RRR  (−)0.75, or (−)75%  N/A 
> 0: relative risk increase  RRI  N/A  0.25, or 25%  
1 / (CER − EER)  < 0: number needed to treat  NNT  (−)3.33  N/A 
> 0: number needed to harm  NNH  N/A  10  
EER / CER  relative risk  RR  0.25  1.25 
(EE / EN) / (CE / CN)  odds ratio  OR  0.167  1.5 
EER − CER  attributable risk  AR  (−)0.30, or (−)30%  0.1, or 10% 
(RR − 1) / RR  attributable risk percent  ARP  N/A  20% 
1 − RR (or 1 − OR)  preventive fraction  PF  0.75, or 75%  N/A 
References
 ↑ ^{1.0} ^{1.1} Cole P, MacMahon B (November 1971). Attributable risk percent in casecontrol studies. Br J Prev Soc Med 25 (4): 242–4.
Biomedical research: Clinical study design / Design of experiments  

Overview  
Controlled study (EBM I to II1; A to B)  
Observational study (EBM II2 to II3; B to C)  
Epidemiology/ methods 

Trial/test types  
Analysis of clinical trials  
Interpretation of results  
* Category 
This page uses Creative Commons Licensed content from Wikipedia (view authors). 