glm.mids | R Documentation |

`mids`

objectApplies `glm()`

to a multiply imputed data set

```
glm.mids(formula, family = gaussian, data, ...)
```

`formula` |
a formula expression as for other regression models, of the
form response ~ predictors. See the documentation of |

`family` |
The family of the glm model |

`data` |
An object of type |

`...` |
Additional parameters passed to |

This function is included for backward compatibility with V1.0. The function
is superseded by `with.mids`

.

An objects of class `mira`

, which stands for 'multiply imputed
repeated analysis'. This object contains `data$m`

distinct
`glm.objects`

, plus some descriptive information.

Stef van Buuren, Karin Groothuis-Oudshoorn, 2000

Van Buuren, S., Groothuis-Oudshoorn, C.G.M. (2000)
*Multivariate Imputation by Chained Equations: MICE V1.0 User's manual.*
Leiden: TNO Quality of Life.

`with.mids`

, `glm`

, `mids`

,
`mira`

```
imp <- mice(nhanes)
# logistic regression on the imputed data
fit <- glm.mids((hyp == 2) ~ bmi + chl, data = imp, family = binomial)
fit
```

mice documentation built on June 7, 2023, 5:38 p.m.

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