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

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

Arguments

x, object An object of class mira 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 by npar matrix containing the complete data estimates for the npar parameters of the m complete data analyses.
u An m by npar by 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 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. http://www.stefvanbuuren.nl/publications/MICE V1.0 Manual TNO00038 2000.pdf


[Package mice version 1.21 Index]