Multiple imputation of covariates for the propensity score model using
Hmisc::impute.transcan(). The model used for multiple imputation must
be fit with Hmisc::aregImpute().
multi_impute(object, data, id = "patient_id", ...)
| object | An |
|---|---|
| data | The dataset that will be multiply imputed. |
| id | Name of the variable in |
An "stacked" dplyr::tibble containing all of the multiply
imputed datasets row binded together. A column imp identifies the
imputation number.