precmed (version 1.1.0)

ipcw.surv: Probability of being censored

Description

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
)

Value

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

Arguments

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).