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A population-level dataset generated according to a simple data-generating process which includes three confounder variables.

Usage

multiple_confounders_toy_population_tbl

Format

multiple_confounders_toy_population_tbl A tibble with 100,000 rows and seven columns:

  • confounder_1: First confounding variable of the treatment–outcome relationship

  • confounder_2: Second confounding variable of the treatment–outcome relationship

  • confounder_3: Third confounding variable of the treatment–outcome relationship

  • treatment: A binary treatment assignment indicator

  • outcome: A continuous outcome variable potential_outcome_treatment: A continuous variable representing the potential outcome under treatment assignment

  • potential_outcome_control: A continuous variable representing the potential outcome under control assignment