Description Usage Arguments Value Author(s) See Also

An internal function called by the `tmle`

function to calculate the additive treatment effect among the treated (ATT) using a universal least favorable submodel (on the transformed scale if outcomes are continuous). The function is called a second time with updated arguments to calculate the additive treatment effect among the controls (ATC). Missingness in the outcome data is allowed.

1 | ```
oneStepATT(Y, A, Delta, Q, g1W, pDelta1, depsilon, max_iter, gbounds, Qbounds)
``` |

`Y` |
continuous or binary outcome variable |

`A` |
binary treatment indicator, |

`Delta` |
indicator of missing outcome. |

`Q` |
a 3-column matrix |

`g1W` |
treatment mechanism estimates, |

`pDelta1` |
censoring mechanism estimates, a 2-column matrix [ |

`depsilon` |
step size for delta moves, set to 0.001 |

`max_iter` |
maximum number of iterations before terminating without convergence |

`gbounds` |
bounds on the propensity score for untreated subjects |

`Qbounds` |
alpha bounds on the logit scale |

`psi` |
effect estimate (on the transformed scale for continuous outcomes) |

`IC` |
influence function |

`conv` |
TRUE if procedure converged, FALSE otherwise |

Susan Gruber

`tmle`

,

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