Amit Patel-7 wrote: > > Hi > I have used the amelia command from the Amelia R package. this gives me a > number > of imputed datasets. > > This may be a silly question, but i am not a statistician, but I am not > sure how > to combine these results to obtain the imputed dataset to usse for further > statistical analysis. >
The details depend on what you are doing with the data. Take the method you would use if there were no missing data, and apply it to each imputed data set. Average the estimates of interest from each imputed data set to get overall estimates. You then have to adjust the covariance matrix of the estimates to account for variability due to imputation. This is explained in various places, for example "Statistical Analysis with Missing Data" by Little and Rubin, and "Regression Modeling Strategies" by Harrell. Frank Harrell's rms package can do this combining of imputations for you. -- View this message in context: http://r.789695.n4.nabble.com/Help-with-Amelia-tp3160965p3161069.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
