cif_adj: A function to account for differential misclassification in...

In edwardsjk/mccr: Accounting for Misclassification of Competing Events

Description

A function to account for differential misclassification in cumulative incidence functions

Usage

cif_adj(data = data, data_evd = data_evd, t = "x", obs = "c_obs",
  true = "c", level = 1, tau = 1, diff_by = NA)

Arguments

data	input data source containing main study data
data_evd	intput data source containing validation data with variables true outcome and misclassified outcome as well as any variable by which misclassification may be differential.
t	name of the time variable in main study data
obs	name of variable denoting possibly misclassified outcome type in both main and validation datasets
true	name of variable denoting true outcome type (in validation data only)
level	level of outcome for which to estimate cumulative incidence
tau	maximum follow-up time
diff_by	name of variable in main study and validation dataset by which misclassification is differential

Value

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

Examples

cif_adj(data = mydata, data_evd = valdata, t = "x", obs = "c_obs", true = "c", level = 1, tau = 2, diff_by = "diffx")

edwardsjk/mccr documentation built on May 22, 2019, 2:18 p.m.