Displaying 2 results from an estimated 2 matches for "miextract".
2007 Mar 02
1
Mitools and lmer
...List(lapply(list.files(data.dir,
> pattern="imp.\\.dta", full=TRUE), read.dta))
>
> #estimate model over each imputed dataset
> model0<-with(files.imp,lmer( erq2tnc ~1+trt2+nash+wash+male+coh2+coh3+(1 |
> sitebeth)))
> #extract betas and standard errors
> betas<-MIextract(model0,fun=coef)
> vars<-MIextract(model0,fun=vcov)
> #Combine the results
> summary(MIcombine(betas,vars))
>
> Error in cbar + results[[i]] : non-numeric argument to binary operator
> Error in summary(MIcombine(betas, vars)) :
> error in evaluating the argument 'object&...
2010 Jun 30
3
Logistic regression with multiple imputation
Hi,
I am a long time SPSS user but new to R, so please bear with me if my
questions seem to be too basic for you guys.
I am trying to figure out how to analyze survey data using logistic
regression with multiple imputation.
I have a survey data of about 200,000 cases and I am trying to predict the
odds ratio of a dependent variable using 6 categorical independent variables
(dummy-coded).