calculates the confidence interval of the time TTC using
delta method by assuming normality on log scale of TTC.
IC = exp(log(TTC) +/- z*sqrt(var(log(TTC))))
,
where Var(log(TTC)) = (dlog(TTC)/dtheta)Var(theta)(dlog(TTC)/dtheta)^T
.
Note that this function is for mixture cure model with Weibull distribution considered for uncured patients.
TTC_ic_log_wei(
object,
z_pcured = z_pcured,
z_ucured = z_ucured,
epsilon = 0.05,
level,
TTC = NULL,
Dttc = NULL
)
An object of class curesurv
.
covariates matrix acting on cure proportion
covariates matrix acting on survival function of uncured
value fixed by user to estimate the TTC \(\text{Pi}(t)\geq (1-\epsilon)\). By default \(\epsilon = 0.05\).
1-alpha/2
-order quantile of a normal distribution
time to cure calculated by TTC_wei
partial derivates of TTC by dTTCdtheta_wei