Timeline for Dichotomizing continuous variables at their optimal cut-off for clinical interpretation
Current License: CC BY-SA 4.0
4 events
| when toggle format | what | by | license | comment | |
|---|---|---|---|---|---|
| Jan 16, 2020 at 14:22 | vote | accept | Paze | ||
| Jan 15, 2020 at 3:32 | comment | added | Alexis | +1 I agree with this so much! (Dichotomization sacrifices power, and creates bias.) I would simply add that one can produce probability or risk contrasts for any two values of a continuous variable one cares to examine from a model of outcome vs continuous predictor without needing to dichotomize it. | |
| Jan 14, 2020 at 16:10 | history | edited | Demetri Pananos | CC BY-SA 4.0 |
added 6 characters in body
|
| Jan 13, 2020 at 23:51 | history | answered | Demetri Pananos | CC BY-SA 4.0 |