mipo-class: Multiply imputed pooled analysis (mipo)
Description
The mipo object is generated by the pool function from a
link[=mira-class]{mira} object. The mipo class of objects has methods for
the following generic functions: print, summary.
Slots
.Data:- Object of class
"list" containing the
following slots: 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. data:- A copy of the incomplete data set.
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 estimates of the m complete data analyses. qbar:- The average of complete data estimates. The multiple imputation estimate.
ubar:- The average of the variance-covariance matrix of the
complete data estimates.
b:- The between imputation variance-covariance matrix for the estimates.
t:- The total variance-covariance matrix for the estimates.
r:- Relative increases in variance due to missing data.
dfcom:- Degrees of freedom in the hypothetically complete data: the
sample size minus the number of free parameters.
df:- Degrees of freedom associated with the t-statistics.
fmi:- Fraction of missing information.
lambda:- Proportion of the variation attributable to the missing
data:
(b+b/m)/t.
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.
http://www.jstatsoft.org/v45/i03/