data_gen: Data generation function for simulation study

In JiayiJi/causal.multiple.treatments: Estimation of Causal Effects of Multiple Treatments with a Binary Outcome

Description

Data generation function for simulation study

Usage

data_gen(n, scenario, ratio, overlap, all_confounder)

Arguments

n	total number of units for simulation
scenario	scenario indicate simulation scenario 1 or scenario 2
overlap	levels of covariate overlap, weak/strong/moderate overlap
all_confounder	For simulation scenario 2, moderate covariate overlap, whether it is lacking for a true confounder

Value

list with the 5 elements. Nested within each list, it contains

n:	Number of units for simulation
trt_ind:	A data frame with number of rows equals to n and 11 columns
Y:	Observed binary outcome for 3 treatments
Yobs:	Observed binary outcome
Est:	True ATE/ATT for RD/RR/OR

JiayiJi/causal.multiple.treatments documentation built on Nov. 14, 2019, 7:46 p.m.