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Inputing systematically missing level-2 variables using miceadd
I'm conducting an individual participant data meta-analysis. My data sets have 4 levels with the highest level being study. I would like to impute level 2 variables that are systematically missing in ...
Yohhei Hamada
Votes: 0
Answers: 0
Recode a variable within the mids object of the mice library in R
The following dataset is available
data <- structure(list(asdas_6month = c(23.1222666868239, 25.4056847196073,
25.9886630231065, NA, 26.9450864282904, 15.1832953552198, 22.1618055512694,
NA, 24.1...
Pashtun
Votes: 0
Answers: 1
R, mitools::MIcombine, what is the reason for no p-values?
I am currently running a simple linear regression model with 5 multiply imputed datasets in R.
E.g. model <- with(imp, lm(outcome ~ exposure))
To pool the summary estimates I could use the command ...
Alex
Votes: 0
Answers: 1
Merge imputed level 2 data (mice) with non-imputed level 1 data for multilevel analysis with brms
I'm using the R mice package to impute random missing questionnaire item values for a few participants. The sum score of the questionnaire is later used in a multilevel model as predictor (level 2) of...
Statju
Votes: 0
Answers: 0