I have a dataset consisting in observations of the developmental time and survival of an insect.

Developmental time is the time in days between egg exclosure and adult emergence, while survival of adults is the time between adult emergence and death (or censoring).

In my analysis, I am plotting a Kaplan-Meier reversed survival curve (ggsurvplot(survfit_obj, fun = "event")) for developmental time, while for adult survival I am using a classical Kaplan-Meier curve.

Since I have these two time-to-event variables for every unique individual, I am wondering if there is the possibility to horizontally merge the two resulting Kaplan-Meier curves into a single comprehensive one, or eventually with a different estimator.

Actually, I am not even sure if it has a solid statistical meaning, it just graphically make sense (see last figure).

Keep in mind that the two time-to-events variables are substantially different, they are not representing a single