conditional_surv_est.Rdconditional_surv_est estimates the Kaplan-Meier conditional survival at
fixed time points and produces a 95% confidence interval
conditional_surv_est(basekm, t1, t2)
| basekm |
|
|---|---|
| t1 | the time on which to condition |
| t2 | the survival time to estimate |
A list where cs_est is the conditional survival estimate,
cs_lci is the lower bound of the 95
cs_uci is the upper bound of the 95
For example, if t1 = 2 and t2 = 5, the function
will return the probability of surviving to year 5 conditioned on having
already survived to year 2. See the vignette
at http://www.emilyzabor.com/condsurv/articles/estimate_cs.html for
details on calculations of conditional survival estimates and confidence
intervals, and examples.