**By Definition: **Whereas the Kaplan-Meier method with log-rank test is useful for comparing survival curves in two or more groups, Cox proportional-hazards regression allows analyzing the effect of several risk factors on survival.

You can use K-M statistics to find the association between hormones level and survival.

From the menus choose:

Analyze

Survival

Kaplan-Meier...

and follow the instructions. you can also select help in this window to see the details about data, assumptions and procedures.

**Output:** Select log rank test from "Compare factors" tab and survival plot from "options" tab. Log rank test p-value can define the association and you can see the pattern of survival for hormone levels from the survival plot.

Cox regression is next step if you want to see multiple independent (risk) factors collective effect on survival. Read some good literature or book chapters about K-M and Cox regression to clear your doubts and then proceed because understanding is more important here before application