BookmarkSubscribeRSS Feed
lei
Obsidian | Level 7 lei
Obsidian | Level 7

Hi,

i'm trying to impute data for a patient experience survey to conduct factor analysis. For HCAHPS, they mentioned in a paper:

http://www.ncbi.nlm.nih.gov/pmc/articles/PMC1361249/

"In case of missing values for items on the questionnaire with an ordered response format, we imputed values under Missing at Random assumptions (Rubin 1976) using SAS software (PROC MI). Such imputations might be interpreted as predictions of the responses that might have been expected from these respondents had they appropriately answered the skipped items, using relationships observed among those who actually answered those items."

I am wondering if anyone can point me to the code or a description of the code for this. I have the missing values imputed. In total, I did 5 of them. I want to average them and replace missing values in the original data sets.

Any help would be appreciated

1 REPLY 1

SAS Innovate 2025: Register Now

Registration is now open for SAS Innovate 2025 , our biggest and most exciting global event of the year! Join us in Orlando, FL, May 6-9.
Sign up by Dec. 31 to get the 2024 rate of just $495.
Register now!

What is Bayesian Analysis?

Learn the difference between classical and Bayesian statistical approaches and see a few PROC examples to perform Bayesian analysis in this video.

Find more tutorials on the SAS Users YouTube channel.

SAS Training: Just a Click Away

 Ready to level-up your skills? Choose your own adventure.

Browse our catalog!

Discussion stats
  • 1 reply
  • 1013 views
  • 0 likes
  • 2 in conversation