Description Usage Arguments Details Value

View source: R/fit_mechanisms.R

Estimate Inverse Probability of Censoring Weights

1 |

`V` |
A |

`Delta` |
A |

`fit_type` |
A |

`sl_learners` |
An |

Compute inverse probability of censoring weights for the two-phase sampling mechanism. These inverse weights are based on the probability of appearing in the second-phase sample based on variables measured on all participants.

A `list`

containing a `numeric`

vector corresponding to
the inverse probability of censoring weights required for computing an
IPCW-TMLE and `numeric`

vector of the estimated missingness mechanism.
Formally, the former is nothing more than
term
class as computed using standard logistic regression.

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