multibias (version 1.6.3)

data_observed: Represent observed causal data

Description

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")
)