Re: [R] Problems to obtain standardized betas in multiply-imputed data

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Re: [R] Problems to obtain standardized betas in multiply-imputed data

Greetings. I would adjust approach to calculate standardized estimates for each imputed set. Then summarize them . The way you are doing it here implies that standardization concept applies to model list, which seems doubtful. The empirical std. dev. of the variables differs among imputed data set

[R] Problems to obtain standardized betas in multiply-imputed data

Dear all, I am having problems in obtaining standardized betas on a multiply-imputed data set. Here are the codes I used : imp = mice(data, 5, maxit=10, seed=42, print=FALSE) FitImp <- with(imp,lm(y ~ x1 + x2 + x3)) Up to here everything is fine. But when I ask for the standardized coefficients