R: Generalized linear model for 'mids' object

glm.mids {mice} | R Documentation

## Generalized linear model for `mids` object

### Description

Applies `glm()` to a multiply imputed data set

### Usage

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

### Arguments

`formula` | a formula expression as for other regression models, of the form response ~ predictors. See the documentation of `lm` and `formula` for details.
`family` | The family of the glm model
`data` | An object of type `mids`, which stands for 'multiply imputed data set', typically created by function `mice()`.
`...` | Additional parameters passed to `glm`.

### Details

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 The function is superseded by `with.mids`.

### Value

An objects of class `mira`, which stands for 'multiply imputed repeated analysis'. This object contains `data$m` distinct `glm.objects`, plus some descriptive information.

### Author(s)

Stef van Buuren, Karin Groothuis-Oudshoorn, 2000

### References

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.

### See Also

`with.mids`, `glm`, `mids`, `mira`

### Examples

    imp <- mice(nhanes)

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

[Package mice version 3.8.0 Index]