mipo {mice}R Documentation

Multiply Imputed Pooled Analysis

Description

The "mipo" object is generated by the lm.mids and glm.mids functions. The "mipo" class of objects has methods for the following generic functions: print, summary.

Usage

print.mipo(x,...)
summary.mipo(object,...)

Arguments

x, object An object containing the m fit objects of a complete data analysis, plus some additional information.
... not used.

Value

call The call that created the mipo object.
call1 The call that created the mira object that was used in 'call'.
call2 The call that created the mids object that was used in 'call1'.
nmis An array containing the number of missing observations per column.
m Number of multiple imputations.
qhat An m x npar matrix containing the complete data estimates for the npar paremeters of the m complete data analyses.
u An m x npar x npar array containing the variance-covariance matrices of the m complete data analyses.
qbar The average of complete data estimates.
ubar The average of the variance-covariance matrix of the complete data estimes.
b The between imputation variance-covariance matrix.
t The total variance-covariance matrix.
r Relative increases in variance due to missing data
df Degrees of freedom associated with the t-statistics.
f Fractions of missing information.

Author(s)

Stef van Buuren, Karin Oudshoorn, 2000

References

Van Buuren, S. & Oudshoorn, C.G.M. (2000). Multivariate Imputation by Chained Equations: MICE V1.0 User's manual. Report PG/VGZ/00.038, TNO Prevention and Health, Leiden.


[Package mice version 1.15 Index]