R: 'mipo': Multiple imputation pooled object

mipo {mice} | R Documentation

## `mipo`: Multiple imputation pooled object

### Description

The `mipo` object contains the results of the pooling step. The function `pool` generates an object of class `mipo`.

### Usage

    mipo(mira.obj, ...)

    ## S3 method for class 'mipo'
    summary(
      object,
      type = c("tests", "all"),
      conf.int = FALSE,
      conf.level = 0.95,
      exponentiate = FALSE,
      ...
    )

    ## S3 method for class 'mipo'
    print(x, ...)

    ## S3 method for class 'mipo.summary'
    print(x, ...)

    process_mipo(z, x, conf.int = FALSE, conf.level = 0.95, exponentiate = FALSE)

### Arguments

`mira.obj` | An object of class `mira`
`...` | Arguments passed down
`object` | An object of class `mipo`
`conf.int` | Logical indicating whether to include a confidence interval. The default is `FALSE`.
`conf.level` | Confidence level of the interval, used only if `conf.int = TRUE`. Number between 0 and 1.
`exponentiate` | Flag indicating whether to exponentiate the coefficient estimates and confidence intervals (typical for logistic regression).
`x` | An object of class `mipo`
`z` | Data frame with a tidied version of a coefficient matrix

### Details

An object class `mipo` is a `list` with elements: `call`, `m`, `pooled` and `glanced`.

The `pooled` elements is a data frame with columns:

`estimate` | Pooled complete data estimate
`ubar` | Within-imputation variance of `estimate`
`b` | Between-imputation variance of `estimate`
`t` | Total variance, of `estimate`
`dfcom` | Degrees of freedom in complete data
`df` | Degrees of freedom of $t$-statistic
`riv` | Relative increase in variance
`lambda` | Proportion attributable to the missingness
`fmi` | Fraction of missing information

The names of the terms are stored as `row.names(pooled)`.

The `glanced` elements is a `data.frame` with `m` rows. The precise composition depends on the class of the complete-data analysis. At least field `nobs` is expected to be present.

The `process_mipo` is a helper function to process a tidied mipo object, and is normally not called directly. It adds a confidence interval, and optionally exponentiates, the result.

### Value

The `summary` method returns a data frame with summary statistics of the pooled analysis.

### References

van Buuren S and Groothuis-Oudshoorn K (2011). `mice`: Multivariate Imputation by Chained Equations in `R`. Journal of Statistical Software, 45(3), 1-67. https://www.jstatsoft.org/v45/i03/

### See Also

`pool`, `mids`, `mira`

[Package mice version 3.12.0 Index]