generate_xSITA_data: Generate simulated data with a SITA violation

In raikens1/RACplots: What the Package Does (One Line, Title Case)

Description

Data set contains measured covariates X, unmeasured covariate U, outcome Y, treatment assignment t, and logit(propensity), mu.

covariate data ~ normal(0,1); mu = true_mu; t ~ binom(p = 1 / (1 + exp(-mu))); y ~ rho * X1 + sqrt(1-rho^2) * X2 + 0.2 * U + t + epsilon epsilon ~ normal(0, 1)

Usage

generate_xSITA_data(
  N = 2000,
  p = 10,
  true_mu = "X1/3-3 + nu * U",
  rho = 0.1,
  nu = 0.2,
  sigma = 1,
  tau = 1
)

Arguments

N	numeric, sample size
p	numeric, number of features
true_mu	string formula giving true propensity score linear model
rho	numeric between 0 and 1. 0 => prog orthogonal to prop, 1=> prog || prop
nu	coefficient of unmeasured confounder in propensity and prognosis
sigma	numeric noise to be added to y. y += sigma*rnorm(0,1)
tau	numeric additive treatment effect

Value

data.frame of covariates, y, t, and true prop (logit scale) and prog

raikens1/RACplots documentation built on July 10, 2021, 11:08 a.m.