imImpAll_mice | R Documentation |

Conduct imputation using the NARFCS model implemented in the `mice`

package

```
imImpAll_mice(
im.data,
deltas = 0,
n.imp = 5,
endponly = TRUE,
seed = NULL,
...
)
```

`im.data` |
A class |

`deltas` |
Vector of imputation sensitivity parameters |

`n.imp` |
Number of complete datasets required |

`endponly` |
Logical variable that indicates whether clinical outcomes not
used in calculating the functional outcome are considered as missing and
should be imputed. The default is |

`seed` |
Random seed |

`...` |
Parameters for |

A class `IDEMIMP`

list with components

- lst.var
List of parameters

- complete
A dataset with the original data for the subset of subjects who died at the end of the study or had no missing outcomes and the

`n.imp`

imputed missing outcomes for subjects who need missing value imputation.- n.imp
Number of imputed complete datasets

- deltas
Imputation sensitivity parameters

- org.data
Original dataset

```
## Not run:
rst.abc <- imData(abc, trt="TRT", surv="SURV", outcome=c("Y1","Y2"),
y0=NULL, endfml="Y2",
trt.label = c("UC+SBT", "SAT+SBT"),
cov=c("AGE"), duration=365, bounds=c(0,100));
rst.imp <- imImpAll_mice(rst.abc, deltas=c(-0.25,0,0.25));
## End(Not run)
```

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