ce_estimate_ra_att {CIMTx}

Causal inference with multiple treatments using RA for ATT effects

Description

The function ce_estimate_ra_att implements RA to estimate ATT effect with multiple treatments using observational data.

Usage

ce_estimate_ra_att(y, x, w, ndpost, reference_trt)

Arguments

y

A numeric vector (0, 1) representing a binary outcome.

x

A dataframe, including all the covariates but not treatments.

w

A numeric vector representing the treatment groups.

ndpost

A numeric value indicating the number of posterior draws.

reference_trt

A numeric value indicating reference treatment group for ATT effect.

Value

A summary of the effect estimates can be obtained with summary function. The output also contains a list of the posterior samples of causal estimands.

References

Hadley Wickham, Romain François, Lionel Henry and Kirill Müller (2021). dplyr: A Grammar of Data Manipulation. R package version 1.0.7. URL: https://CRAN.R-project.org/package=dplyr

Andrew Gelman and Yu-Sung Su (2020). arm: Data Analysis Using Regression and Multilevel/Hierarchical Models. R package version 1.11-2. https://CRAN.R-project.org/package=arm