ncets_con: Eliminating the Unmeasured Confounders and Estimating Causal...

In yuyy-shandong/NCETS: An R package for causal effect estimation of environmental exposure on health outcome.

Description

Eliminating the Unmeasured Confounders and Estimating Causal Effect for Continuous Outcome.

Usage

ncets_con(
  formula,
  data = data,
  sdmethod = c("normal", "bootstrap", "all"),
  x1_name = "x1",
  x3_name = "x3",
  boots_no = NULL
)

Arguments

formula	an object of class 'formula' : a symbolic description of the model to be fitted
data	an optional data frame containing the variables in the model.
sdmethod	Choosing a method for estimating variance
x1_name	the name of pre-outcome exposure
x3_name	the name of post-outcome exposure
boots_no	the number of bootstrap

Value

formula the model

bootstrap the casual effect coefficients when the variance is calculated by bootstrap

normal the casual effect coefficients when the variance is calculated in theory

quant the confidence interval calculated by bootstrap

Examples

  u <- rnorm(1000,0,1)
  x1 <- 0.5*u +rnorm(1000,0,1)
  x3 <- 0.5*u +rnorm(1000,0,1)
  y <- 2*x1 + 1*u +rnorm(1000,0,1)
  data <- data.frame(u,x1,x3,y)
  model <- ncets_con (y~x1+x3, data = data, sdmethod ='normal',
  x1_name = 'x1',x3_name = 'x3',boots_no = NULL)
  model

yuyy-shandong/NCETS documentation built on May 19, 2021, 10:32 p.m.