Estimates the probability of survival past some specified time using inverse probability of treatment weighted (IPTW) Kaplan-Meier estimation
surv.iptw.km.base(tl, dl, tt, ps.weights, weight.perturb = NULL, perturb.ps = FALSE)
estimate of survival at the specified time
observed event time of primary outcome, equal to min(T, C) where T is the event time and C is the censoring time.
event indicator, equal to I(T<C) where T is the event time and C is the censoring time.
the time of interest, function estimates the probability of survival past this time
propensity score (or inverse probability of treatment) weights
an optional weight matrix to be incorporated in estimation.
TRUE or FALSE indicating whether the weight.perturb matrix includes the perturbed propensity score (or inverse probability of treatment) weights
Layla Parast