Description Usage Arguments Value References

This function implements inverse probability weighted (IPW) estimation of average treatment effects (ATEs), provided fitted propensity scores.

1 | ```
ate.ipw(y, tr, mfp)
``` |

`y` |
An |

`tr` |
An |

`mfp` |
An |

`one` |
The direct IPW estimates of 1. |

`est` |
The ratio IPW estimates of means. |

`diff` |
The ratio IPW estimate of ATE. |

Tan, Z. (2020a) Regularized calibrated estimation of propensity scores with model misspecification and high-dimensional data, *Biometrika*, 107, 137<e2><80><93>158.

Tan, Z. (2020b) Model-assisted inference for treatment effects using regularized calibrated estimation with high-dimensional data, *Annals of Statistics*, 48, 811<e2><80><93>837.

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