Description Usage Arguments Value

View source: R/generalize_tmle.R

TMLE for estimating TATE

1 2 3 4 5 6 7 8 9 | ```
generalize_tmle(
outcome,
treatment,
trial,
selection_covariates,
data,
is_data_disjoint = TRUE,
seed
)
``` |

`outcome` |
variable name denoting outcome |

`treatment` |
variable name denoting binary treatment assignment (ok if only available in trial, not population) |

`trial` |
variable name denoting binary trial participation (1 = trial participant, 0 = not trial participant) |

`selection_covariates` |
vector of covariate names in data set that predict trial participation |

`data` |
data frame comprised of "stacked" trial and target population data |

`is_data_disjoint` |
logical. If TRUE, then trial and population data are considered independent. |

`seed` |
numeric. By default, the seed is set to 13783, otherwise can be specified (such as for simulation purposes). |

`generalize_tmle`

returns a list of the TATE estimate, standard error, and 95% CI bounds

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