Table 1.
Hypothetical data example demonstrating relevant confounding magnitude in estimating an exposure-outcome association in presence of a low prevalent binary confounder.
A | B | C | D | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
total sample | total sample | confounder = 'no' | confounder = 'yes' | ||||||||||||
exposure | exposure | exposure | exposure | ||||||||||||
no | yes | no | yes | no | yes | no | yes | ||||||||
|
|
|
|
||||||||||||
outcome | no | 25 | 488 | confounder | no | 22 | 948 | outcome | no | 11 | 474 | outcome | no | 14 | 14 |
yes | 12 | 475 | yes | 15 | 15 | yes | 11 | 474 | yes | 1 | 1 | ||||
|
|
|
|
||||||||||||
37 | 963 | 37 | 963 | 22 | 948 | 15 | 15 |