The following are some common SAS procedures used in medical data analysis:
There are several reasons why SAS is widely used in medical data analysis: Statistical Analysis of Medical Data Using SAS.pdf
proc mixed data=diabetes method=reml; class patient_id visit treatment; model hba1c = treatment visit treatment*visit / ddfm=kr; repeated visit / subject=patient_id type=ar(1) rcorr; lsmeans treatment*visit / pdiff; run; The following are some common SAS procedures used
For any medical manuscript, Table 1 (baseline characteristics) is non-negotiable. In SAS, this is elegantly handled by PROC TABULATE or PROC FREQ and PROC MEANS . A comprehensive PDF would provide a macro or template for generating publication-ready tables. class patient_id visit treatment
The PDF would stress that —hence, mastery of PROC SQL , PROC SORT NODUPKEY , and PROC MEANS for initial exploration is mandatory.