generate_data: Generate predictor and outcome data

In annloh/austin2011: Replication Simulation Study Austin 2011

Description

Generate predictor and outcome data

Usage

generate_data(
  sample_size = 10000,
  n_covariates = 10,
  n_normal = n_covariates,
  pair_cor,
  alpha,
  beta = NULL,
  outcome_type = NULL,
  n_iter = 1000,
  prop_treated = NULL,
  risk_diff = 0,
  margin_prev
)

Arguments

sample_size	integer specifying the sample size
n_covariates	integer specifying the number of covariates
n_normal	integer specifying the number of normal covariates (must be <= n_convariates)
pair_cor	pairwise correlation
alpha	covariate vector of length n_covariate
beta	coefficient for treatment-dummy
outcome_type	character value "continuous" or "binary"
n_iter	integer indicating number of iterations
prop_treated	numerical value of intended proportion of treated individuals
risk_diff	numerical value of intended risk difference
margin_prev	numerical value of intenden marginal prevalence

Value

a list with the following content

• sim_data dataframe with simulated data

alpha_0_treat numerical value indicating intercept of treatment model \item alpha_0_outcome numerical value indicating intercept of outcome model \item beta numerical value indicating regression coefficient of treatment dummy

annloh/austin2011 documentation built on Aug. 22, 2020, 12:13 a.m.