Displaying 4 results from an estimated 4 matches for "micombine".
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2010 Nov 07
2
How is MissInfo calculated? (mitools)
What does missInfo compute and how is it computed?
There is only 1 observation missing the ethnic3 variable. There is no other
missing data.
N=1409
> summary(MIcombine(mod1))
Multiple imputation results:
with(rt.imp, glm(G1 ~ stdage + female + as.factor(ethnic3) + u,
family = binomial()))
MIcombine.default(mod1)
results se
(lower upper) missInfo
(Intercept) -0.40895453 0.14743928 -0.708...
2007 May 31
0
Using MIcombine for coxph fits
R-helpers:
I am using R 2.5 on Windows XP, packages all up to date. I have run
into an issue with the MIcombine function of the mitools package that I
hoped some of you might be able to help with. I will work through a
reproducible example to demonstrate the issue.
First, make a dataset from the pbc dataset in the survival package
---------------
# Make a dataset
library(survival)
d <- pbc[,c('time...
2007 Mar 02
1
Mitools and lmer
Hey there
I am estimating a multilevel model using lmer. I have 5 imputed datasets so
I am using mitools to pool the estimates from the 5
>
> datasets. Everything seems to work until I try to use
> MIcombine to produced pooled estimates. Does anyone have any suggestions? The betas and the standard errors were extracted with no problem so everything seems to work smoothly up until that point.
>
>
> Program
> #Read data
> data.dir<-system.file("dta",package="mitools&quo...
2010 Jun 30
3
Logistic regression with multiple imputation
Hi,
I am a long time SPSS user but new to R, so please bear with me if my
questions seem to be too basic for you guys.
I am trying to figure out how to analyze survey data using logistic
regression with multiple imputation.
I have a survey data of about 200,000 cases and I am trying to predict the
odds ratio of a dependent variable using 6 categorical independent variables
(dummy-coded).