Dear All,
I much appreciate your help.
I am analyzing a longitudinal survey data that collected 3 times (T1, T2, and T3). T1=600 observations, T2=500 (15%) was drop-out and T3=400 (13% was drop-out). Thus totally, 28% were a drop-out. Time-unvarying variables like sex, ethnicity did not collect in T2 and T3. An outcome of interests is a continuous variable. The main predictor is a categorical variable.
1) My inclusion criteria, I included only Subjects who had at least 2-time surveys. For instance, to exclude id_102 who missed a variable "ssup_cat" and id_107 who missed all variables. Please kindly see the attached file (I am use a SAS studio).
2) I want to create missing data files (lost to follow-up) in T1 and T2, T2 and T3 and T1 and T3.
How can I tell SAS to do the jobs. Thank you for your time in advance!
Phan S.
Show examples of the data illustrating all the anticipated conditions, in a DATA step format. The show what you want the result data set to look like.
Don’t miss the livestream kicking off May 7. It’s free. It’s easy. And it’s the best seat in the house.
Join us virtually with our complimentary SAS Innovate Digital Pass. Watch live or on-demand in multiple languages, with translations available to help you get the most out of every session.
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.
Ready to level-up your skills? Choose your own adventure.