Hi folks,
I am trying to learn about multiple imputation as a way to fill in missing data for a dataset I have. I have found a great tutorial at https://stats.idre.ucla.edu/sas/seminars/multiple-imputation-in-sas/mi_new_1/ that goes into detail. However, there is a part where I am confused because they use PROC MI and subsequent steps to run Linear Regression and Logistic Regression. I would like to use PROC MI, and then I suppose PROC MIANALYZE, for Chi-Square and Frequency tables (PROC FREQ) as my goal is to calculate frequencies and to see if there is a significant difference between variables and the groups they belong to.
All of my variables are binary (e.g. 0 for no insurance, 1 for insurance; 0 for Age less than 50, 1 for Age greater than 50).
Is it possible to use SAS' multiple imputation to run frequency tables and chi-squared analyses afterwards? If so, how? Unfortunately, the above tutorial doesn't help me figure this out.
Yes, you would run the Proc FREQ by _IMPUTATION_ saving the Chi-Square statistics to a SAS data set. Then you could make use of something like Dr. Paul Allison's COMBCHI macro which will give you a single test statistic and p-value.
http://www.ssc.upenn.edu/~allison/combchi.sas
Yes, you would run the Proc FREQ by _IMPUTATION_ saving the Chi-Square statistics to a SAS data set. Then you could make use of something like Dr. Paul Allison's COMBCHI macro which will give you a single test statistic and p-value.
http://www.ssc.upenn.edu/~allison/combchi.sas
Are you ready for the spotlight? We're accepting content ideas for SAS Innovate 2025 to be held May 6-9 in Orlando, FL. The call is open until September 25. Read more here about why you should contribute and what is in it for you!
ANOVA, or Analysis Of Variance, is used to compare the averages or means of two or more populations to better understand how they differ. Watch this tutorial for more.
Find more tutorials on the SAS Users YouTube channel.