# Survival analysis with continuous outcomes

I'm thinking of running survival analysis for continuous binomial outcome. All instances start at 0 and end at n.

For example:

Name  Start  End (proportion of broken items)
A     0%       4%
B     0%       3%
C     0%       6%
D     0%       5%


essentially I'm trying to find out which element yield the "safest" outcomes. Is this possible in survival analysis? I have a set of time-series data which all start and end dates are the same and possible need not censoring.