Table 2.

Magnification of Type I Error With Multiple Tests^∗

No. of Tests	Type I Error (approximate %)
1	5
2	10
3	14
10	40
20	64

For p = 0.05, the odds of type I error (false identification of an effect where none exists) as the number of tests increases.

^∗See reference 31.