Last data update: 2014.03.03
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R: Multiple imputations
Multiple imputations
Description
An imputationList object containing five imputations of data
from the Victorian Adolescent Health Cohort Study.
Usage
data(smi)
Format
The underlying data are in a data frame with 1170 observations on the following 12 variables.
- id
a numeric vector
- wave
a numeric vector
- mmetro
a numeric vector
- parsmk
a numeric vector
- drkfre
a factor with levels Non drinker not in last wk <3 days last wk >=3 days last wk
- alcdos
a factor with levels Non drinker not in last wk av <5units/drink_day av =>5units/drink_day
- alcdhi
a numeric vector
- smk
a factor with levels non/ex-smoker <6 days 6/7 days
- cistot
a numeric vector
- mdrkfre
a numeric vector
- sex
a numeric vector
- drinkreg
a logical vector
Source
Carlin, JB, Li, N, Greenwood, P, Coffey, C. (2003) "Tools for
analysing multiple imputed datasets" The Stata Journal 3; 3: 1-20.
Examples
data(smi)
with(smi, table(sex, drkfre))
model1<-with(smi, glm(drinkreg~wave*sex, family=binomial()))
MIcombine(model1)
summary(MIcombine(model1))
Results
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