Calculates a SATE and a PATE using AIPW

This function takes fully prepared data (with all auxilliary columns from the necessary models) and estimates average treatment effects using AIPW.

calculate_ate(data)

Arguments

data

The dataset of interest after it has been prepared fully.

References

• Kennedy, E. H. (2020). Towards optimal doubly robust estimation of heterogeneous causal effects. arXiv preprint arXiv:2004.14497.

• Tsiatis, A. A., Davidian, M., Zhang, M., & Lu, X. (2008). Covariate adjustment for two‐sample treatment comparisons in randomized clinical trials: a principled yet flexible approach. Statistics in medicine, 27(23), 4658-4677.

See also

basic_config(), attach_config(), make_splits(), produce_plugin_estimates(), construct_pseudo_outcomes(), estimate_QoI()