ce_estimate_iptw_att_boot {CIMTx}

Causal inference with multiple treatments using IPTW for ATT effects (bootstrapping for CI)

Description

The function ce_estimate_iptw_att_boot implements IPTW with bootstrapping to estimate ATT effect with multiple treatments using observational data.

Usage

ce_estimate_iptw_att_boot(
  y,
  x,
  w,
  reference_trt,
  method,
  nboots,
  verbose_boot,
  ...
)

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.

reference_trt

A numeric value indicating reference treatment group for ATT effect.

method

A character string. Users can selected from the following methods including "IPTW-Multinomial", "IPTW-GBM", "IPTW-SL".

nboots

A numeric value representing the number of bootstrap samples.

verbose_boot

A logical value indicating whether to print the progress of nonparametric bootstrap. The default is TRUE.

...

Other parameters that can be passed through to functions.

Value

A summary of the effect estimates can be obtained with summary function.

References

Hadley Wickham (2019). stringr: Simple, Consistent Wrappers for Common String Operations. R package version 1.4.0. URL:https://CRAN.R-project.org/package=stringr