Probability of being censored — ipcw.surv • precmed

Probability of being censored which is used to correct the effect of right censoring.

Usage

ipcw.surv(
  y,
  d,
  x.ipcw,
  yf = NULL,
  ipcw.method = "breslow",
  tau0,
  surv.min = 0.025
)

y: Observed survival or censoring time; vector of size n.
d: The event indicator, normally 1 = event, 0 = censored; vector of size n.
x.ipcw: Matrix of p.ipw baseline covariate specified in inverse probability of censoring weighting; dimension n by p.ipw.
yf: Follow-up time, interpreted as the potential censoring time; vector of size n if the potential censoring time is known. If unknown, set yf == NULL and yf will be taken as y in the function.
ipcw.method: The censoring model. Allowed values are: 'breslow' (Cox regression with Breslow estimator of the baseline survivor function), 'aft (exponential)', 'aft (weibull)', 'aft (lognormal)' or 'aft (loglogistic)'. Default is 'breslow'.
tau0: The truncation time for defining restricted mean time lost.
surv.min: Lower truncation limit for probability of being censored (positive and very close to 0).

A vector of size n with the estimated probabilities Pr(C > min(y, tau0) | x.ipcw)