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Binary Outcome Data/NNT, : - Coggle Diagram

- - - - RISK RATIO = risk of MI in new treatment/risk of MI in current treatment (example 0.257/0.314 = 0.82 (0.82-1 = -0.18 or 18% reduction
        
        'those randomised to the new treatment had 0.82 times of 18% reduction in the risk of MI compared to those on the current treatment'
      - Risk - more interpret-able than odds
    - - ODDS RATIO = odds of MI in new treatment/odds of MI in current treatment (example 0.35/0.46 = 0.76 (0.76-1 = -0.24 or 24% reduction
        
        'those randomized to the new treatment had 0.76 times or 24% reduction in the odds of MI compared to those on the current treatment'
      - Odds - statically more appealing
    - - 1 = no evidence of difference between groups
      - <1 = evidence of lower risk/odds of MI in new treatment
      - 1 = evidence of higher risk/odds of MI in new treatment
  - - - Risk ratio of 0.5 or 50%, and risk difference of -3.4 or 3%
        
        50% vs 3% (very different values)
- - - - RISK DIFFERENCE = risk of MI in new treatment - risk of MI in current treatment (example 0.257-0.314 = 0.057 or -5.7%
        
        'those randomized to the new treatment had a 5.7% lower rick of MI compared to those on the current treatment
      - 0 = no evidence of difference
      - <0 = evidence of lower rick of MI in new
      - .>0 = evidence of higher rick of MI in new
- - - - 1/0.057 = 17.5 (or 18 people, round up)
      - On average 18 pts need to be treated with new treatment in order to prevent 1 MI over 1 year period
      - Doesn't tel us what happened to the other 17 pts?