comp.cens.cor: A function to estimate a nonparametric cumulative incidence...

In edwardsjk/mccc:

Description

A function to estimate a nonparametric cumulative incidence function accounting for misclassification between competing events and censoring events #'

Usage

comp.cens.cor(
  data = data,
  tau,
  t = "t",
  delta = "delta",
  weights = "NULL",
  p = "p"
)

Arguments

data	input data source containing main study data, specifically time variable and outcome type
tau	final follow-up time
t	character string denoting name of time variable
delta	character string denoting name of event type variable
weights	character string denoting name of variable containing weights (e.g., survey sampling weights, inverse probability weights, etc)
p	a character string denoting name of the variable containing the probability that person i is in care elsewhere

Value

data frame with event times and cumulative incidence function for outcome of interest

Examples

 prop<-comp.cens.cor(data=art, tau=2*365.25, t="t", delta="j", p=0.24, N=1000)

edwardsjk/mccc documentation built on March 30, 2020, 4:13 p.m.