Generate data with a binary unmeasured confounder and binary outcome

Generate data with a binary unmeasured confounder and binary outcome

Usage

gData_U_binary_Y_binary(
  ymodel = "linear",
  N = 500,
  alpha_uz = 0.2,
  beta_uy = 0.5,
  treatment_effects = 1,
  seed = 123
)

Arguments

ymodel

A string indicating the functional form of the outcome model.

N

The number of observations to be generated.

alpha_uz

The coefficient of the unmeasured confounder in the propensity score model.

beta_uy

The coefficient of the unmeasured confounder in the outcome model.

treatment_effects

The treatment effect.

seed

The seed for the random number generator.