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

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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