# Method to obtain optimal cut-off point for survival outcomes

**URL:** <https://discourse.datamethods.org/t/method-to-obtain-optimal-cut-off-point-for-survival-outcomes/6054>\
**Category:** general\
**Tags:** survival-analysis\
**Created:** [September 30, 2022, 8:02am UTC](https://discourse.datamethods.org/t/method-to-obtain-optimal-cut-off-point-for-survival-outcomes/6054 "2022-09-30T08:02:00Z")\
**Posts on this page:** 1\
**Showing post:** 2

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**Author:** ![js592](https://discourse.datamethods.org/letter_avatar_proxy/v4/letter/j/bc8723/32.png) [@js592](https://discourse.datamethods.org/u/js592)\
**Post date:** [September 30, 2022, 3:01pm UTC](https://discourse.datamethods.org/t/method-to-obtain-optimal-cut-off-point-for-survival-outcomes/6054/2 "2022-09-30T15:01:14Z")

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The general flavor of discourse around here tends to not recommend cutpoints/dichotomizing continuous predictors. See: [Categorizing Continuous Variables](https://discourse.datamethods.org/t/categorizing-continuous-variables/3402)

Do you have a particular aspect of your research that makes finding an optimal cutpoint necessary?

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