BookmarkSubscribeRSS Feed
yubaraj
Fluorite | Level 6

What could be a best analytic procedure to measure effect of walking program on activity level measured in terms of ordinal scale.

The activity level was measured 3 times (baseline, after intervnetion and after a month of intervnetion)

 

I guess repeated measures linear model will not be enough since people were coming and going out of the program, and there are missing data for drop-outs.

I am using the 9.4 version

many thanks

Yuba

1 REPLY 1
pau13rown
Lapis Lazuli | Level 10

advice won't be definitive. personally i wouldn't be fixated on the 'repeated measures', you have 2 timepoints, the baseline is a baseline. If not for the missing data do proportional odds modelling (proc logistic, beware: https://digitalcommons.wayne.edu/cgi/viewcontent.cgi?article=1076&context=jmasm) at the primary timepoint. Could consider last-observation-carried-foward, although probably not because it couldn't be considered conservative in this scenario (assuming the primary timepoint is the last timepoint). Other options depend on the extent of drop out etc etc.

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 ANOVA?

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.

Discussion stats
  • 1 reply
  • 1208 views
  • 1 like
  • 2 in conversation