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
Reeza
Super User

The documentation is a good place to start:

SAS/STAT(R) 9.2 User's Guide, Second Edition

hackathon24-white-horiz.png

The 2025 SAS Hackathon has begun!

It's finally time to hack! Remember to visit the SAS Hacker's Hub regularly for news and updates.

Latest Updates

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
  • 1235 views
  • 0 likes
  • 2 in conversation