Hi
I have some explanatory scale variables (eg possible values 0 through 10).
They are integers and limited in span.
What is the best choice for handling these.
I started by setting it up with regress assuming the variable to continuous,
Then I tried using intreg (censored data) because I found an 2011/2012 presentation doing this.
And now I've found out that there is truncreg (truncated data) as well.
It is especially the last two I can't decide when to use.
I've searched the net without luck.
Obviously, I'm looking the wrong places.
Do anyone have an answer?
Another question is whether there exists a good book on chained multiple imputation (MICE).
Thank you very much
I have some explanatory scale variables (eg possible values 0 through 10).
They are integers and limited in span.
What is the best choice for handling these.
I started by setting it up with regress assuming the variable to continuous,
Then I tried using intreg (censored data) because I found an 2011/2012 presentation doing this.
And now I've found out that there is truncreg (truncated data) as well.
It is especially the last two I can't decide when to use.
I've searched the net without luck.
Obviously, I'm looking the wrong places.
Do anyone have an answer?
Another question is whether there exists a good book on chained multiple imputation (MICE).
Thank you very much

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