Represent observed causal data

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 the multibias_adjust() function.

Usage

data_observed(data, bias, exposure, outcome, confounders = NULL)

Arguments

data

Dataframe for bias analysis.

bias

String type(s) of bias distorting the effect of the exposure on the outcome. Can choose from a subset of the following: "uc", "em", "om", "sel". These correspond to uncontrolled confounding, exposure misclassification, outcome misclassification, and selection bias, respectively.

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,
  bias = "uc",
  exposure = "X",
  outcome = "Y",
  confounders = c("C1", "C2", "C3")
)