estimateIPTW: Estimate ATE with IPTW

In BarkleyBG/causalsandwich: Estimating Causal Effects with M-Estimation Sandwich Variance Estimator

Description

Fits a parametric model and estimates ATE via IPTW with Wald-type confidence intervals from the empirical sandwich standard error estimates.

Usage

estimateIPTW(data, formula, model_method = "logistic",
  weight_type = "unstabilized", ...)

Arguments

data	The dataframe. This will be coerced from "tbl_df" to data.frame.
formula	Three-part formula: Outcome | Treatment ~ Covars.
model_method	Currently only supports "logistic" for logit-link binomial GLM.
weight_type	Currently only supports "unstabilized"
...	additional arguments, especially those passed to m_estimate or the modeling function

BarkleyBG/causalsandwich documentation built on May 28, 2019, 11:36 a.m.