# Survival Analysis to estimate eventual proportion of population that survives?

For my graduate reserach, I am designing an experiment with plants that may or may not survive, given a certain treatment. I am trying to decide on a statistical analysis - so I know how to collect my data - that informs me how many plants survive for each treatment.

Survival analysis sounds like a good method, but the concept is new to me, so I am not sure. Wikipedia states that:

Survival analysis is a branch of statistics for analyzing the expected duration of time until one or more events happen

However, I am not interested in the time-until-death, but the chance of survival (or the proportion of plants that ultimately survives).

Can survival analysis be used

• when not all individuals eventually die?
• to estimate the proportion of individuals that ultimately survives?

If not, what other method should be used?

• see logistic regression Commented Aug 22, 2018 at 10:27

In all realistic problems, observation time $T_O$ and survival times $T_i$ are finite, so "never dies" is defined as the event $T_i > T_O$. If:
1. you really care only about that event, and not about any differences in $T_i$s below $T_O$, AND