generate.data.dose

This function creates some example data using the data generation process described
in simulation 1 of frazier2024biasnbpInference. The dataframe
contains a treatment variable Z, outcome variable Y, and five covariates X1,...,X5.

Conduct inference on the sample average treatment effect for a
matched (observational) dataset with a continuous treatment. Equipped with
calipered non-bipartite matching, bias-corrected sample average treatment
effect estimation, and covariate-adjusted variance estimation. Matching,
estimation, and inference methods are described in
Frazier, Heng and Zhou (2024) <doi:10.48550/arXiv.2409.11701>.

Anthony Frazier

nbpInference

Inference on Average Treatment Effects for Continuous Treatments

Siyu Heng

Wen Zhou

generate.data.dose function

<dl><dt>N</dt>
<dd>Number of observations to simulate, which should be a positive
whole number.</dd></dl>

Arguments

Generate example data with five covariates — generate.data.dose

<dl>

<dt>N</dt>
<dd>Number of observations to simulate, which should be a positive
whole number.</dd>

</dl>

generate.data.dose: Generate example data with five covariates

Description

Usage

Value

Arguments

See Also

Examples