data_observed combines the observed dataframe with specific identification
of the columns corresponding to the exposure, outcome, and confounders. It is
an essential input of all adjust functions.
Usage
data_observed(data, exposure, outcome, confounders = NULL)
Arguments
- data
Dataframe for bias analysis.
- exposure
String name of the column in data corresponding to the
exposure variable.
- outcome
String name of the column in data corresponding to the
outcome variable.
- confounders
String name(s) of the column(s) in data corresponding
to the confounding variable(s).
Examples
df <- data_observed(
data = df_sel,
exposure = "X",
outcome = "Y",
confounders = c("C1", "C2", "C3")
)
