Randomized Clinical Trials > Number Needed to Treat

## What is Number Needed to Treat?

The Number Needed to Treat (NNT) is a count of**how many people need to be treated in order for one person to benefit**. More effective treatments have lower NNTs. The ideal NNT is 1, which equals

*everyone*benefiting from the treatment.

## Examples

An NNT of 20 would mean that twenty people would need to be treated in order for one person to benefit. This may or may not be effective depending on what you are treating and whether or not the side effects are severe. For example, the flu vaccine has varying NNTs ranging from 12 to about 40. That means between 12 and 40 people would need to get the flu shot to prevent a single case of the flu. The fairly low NNT and an unproven ability to prevent hospitalizations or death is one reason why there is a lot of debate about whether the flu vaccine should be recommended at all. On the other hand, some chemotherapy agents have similar NNTs (between 17 and 34). However, as the end result of cancer is almost certain death, even preventing a few deaths is still a significant benefit.

## Calculating NNT

If you know the absolute risk reduction (ARR) (the difference in the proportion of event rates in the treatment group compared to the proportion of event rates in the control group), you can easily calculate the NNT. That’s because the NNT is the inverse of the ARR:

NNT = 1 / ARR = 1 / (CER (Control Event Rate) – EER (Experimental Event Rate))

If all of the people in the treatment group have positive outcomes and none of the control group do, then the NNT equals 1. This is the ideal NNT, but it is rarely realized in real life.

You can also also calculate NNT from an Odds Ratio using the table found here.

If you prefer an online interactive environment to learn R and statistics, this free R Tutorial by Datacamp is a great way to get started. If you're are somewhat comfortable with R and are interested in going deeper into Statistics, try this Statistics with R track.

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