View source: R/landest_functions.R
surv.iptw.km.base | R Documentation |
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)
tl |
observed event time of primary outcome, equal to min(T, C) where T is the event time and C is the censoring time. |
dl |
event indicator, equal to I(T<C) where T is the event time and C is the censoring time. |
tt |
the time of interest, function estimates the probability of survival past this time |
ps.weights |
propensity score (or inverse probability of treatment) weights |
weight.perturb |
an optional weight matrix to be incorporated in estimation. |
perturb.ps |
TRUE or FALSE indicating whether the weight.perturb matrix includes the perturbed propensity score (or inverse probability of treatment) weights |
estimate of survival at the specified time
Layla Parast
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