eval_Dstar_Q {drtmle} | R Documentation |

## Evaluate extra piece of efficient influence function resulting from misspecification of propensity score

### Description

Evaluate extra piece of efficient influence function resulting from misspecification of propensity score

### Usage

```
eval_Dstar_Q(A, Y, DeltaY, DeltaA, Qn, gn, grn, a_0, reduction)
```

### Arguments

`A` |
A vector of binary treatment assignment (assumed to be equal to 0 or 1) |

`Y` |
A numeric of continuous or binary outcomes. |

`DeltaY` |
Indicator of missing outcome (assumed to be equal to 0 if missing 1 if observed) |

`DeltaA` |
Indicator of missing treatment (assumed to be equal to 0 if missing 1 if observed) |

`Qn` |
List of estimated outcome regression evaluated at observations |

`gn` |
List of estimated propensity scores evaluated at observations |

`grn` |
List of estimated reduced-dimension propensity scores evaluated at observations |

`a_0` |
Vector of values to return marginal mean |

`reduction` |
A character equal to |

[Package

*drtmle*version 1.1.2 Index]