It’s common for people to address missing data by imputing missing data in the independent variables and using the amended data in a regression analysis. In a regression analysis, it’s ok to do because the covariance matrix from the imputed data is supposed to resemble the original data. Question: Is it good or bad to [...]
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Cranked up Stata 12. I love the new mi manual – one click and you can read the whole imputation manual. I also like how mi pulls it all together. Question: There’s now, like, a gazillion missing data imputation methods. Any advice o... Read Post
Vishnu Ganglani writes: It appears that multiple imputation appears to be the best way to impute missing data because of the more accurate quantification of variance. However, when imputing missing data for income values in national... Read Post
Elena Grewal writes: I am currently using the iterative regression imputation model as implemented in the Stata ICE package. I am using data from a survey of about 90,000 students in 142 schools and my variable of interest is parent... Read Post