ce_estimate_tmle_ate_boot {CIMTx}

Causal inference with multiple treatments using TMLE for ATE effects (bootstrapping for CI)

Description

Causal inference with multiple treatments using TMLE for ATE effects (bootstrapping for CI)

Usage

ce_estimate_tmle_ate_boot(y, x, w, 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.

nboots

A numeric value representing the number of bootstrap samples.

verbose_boot

A logical value indicating whether to print the progress of nonparametric bootstrap.

...

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