| ce_estimate_rams_ate {CIMTx} | R Documentation |
Causal inference with multiple treatments using RAMS for ATE effects
Description
The function ce_estimate_rams_ate implements
RAMS to estimate ATE effect with
multiple treatments using observational data.
Usage
ce_estimate_rams_ate(y, w, x, method, ...)
Arguments
y |
A numeric vector (0, 1) representing a binary outcome. |
w |
A numeric vector representing the treatment groups. |
x |
A dataframe, including all the covariates but not treatments. |
method |
A character string. Users can selected from the
following methods including |
... |
Other parameters that can be passed through to functions. |
Value
A summary of the effect estimates can be obtained
with summary function.
References
Matthew Cefalu, Greg Ridgeway, Dan McCaffrey, Andrew Morral, Beth Ann Griffin and Lane Burgette (2021). twang: Toolkit for Weighting and Analysis of Nonequivalent Groups. R package version 2.5. URL:https://CRAN.R-project.org/package=twang
Venables, W. N. & Ripley, B. D. (2002) Modern Applied Statistics with S. Fourth Edition. Springer, New York. ISBN 0-387-95457-0
Noah Greifer (2021). WeightIt: Weighting for Covariate Balance in Observational Studies. R package version 0.12.0. URL:https://CRAN.R-project.org/package=WeightIt
Wood, S.N. (2011) Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models. Journal of the Royal Statistical Society (B) 73(1):3-36