HI,   I have a longitudinal dataset with a variable that describes disease severity (mild, moderate, severe). Since this is longitudinal subjects may have at some point been mild then became moderate or severe throughout the study. Some the opposite. I would like to pick the most severe for each subject regardless of when. I am pasting below how the data appears:   ID       Severity 1           mild 1           mild 1           moderate 1           moderate 2           moderate  2           mild 2           severe 2           severe 3           mild 3           mild 3           mild 3           mild   How I want the data to look like:   ID         Severity 1           moderate  2           severe 3           mild   What is the best way to achieve this?   Thanks! ... View more

Hi,    How can I get values (n sample size) on a gplot for each timepoint?   Below is my code:   goptions reset = all ; axis1 order =(1 to 4 by 1) label= (a=90 'Year') minor=none; axis2 order = (4.5 to 4.6 by 0.01) label = ('Natural Log of lsmeans MSE Scores') minor=none ; symbol1 interpol=std2mjt v=none color=blue r=1 w=2 v=plus; symbol2 interpol=std2mjt v=none color=red r=1 w=2; proc gplot data=means1; plot estimate*year=cd / haxis = axis1 vaxis=axis2; where cd~=.; run; quit;  ... View more

Hello,   I have a longitudinal dataset with a continuous score outcome and baseline features which I am trying to model. The outcome varies between visits/years but not the exposure or the other variables. I have been using proc mixed but keep getting that the model stopped because of infinite likelihood. I then tried putting ID*exposure in the subject statement and the convergence criteria was met. I am unsure why it would only work as such and if I can trust the model as such. I am pasting below how my data is setup and the code.   ID       Year    Outcome        Exposure            Age          v12            v13         v14         v15 1            0           96                   0                     50 1            1           97                   0                     50 1            2           98                   0                     50 1            3           94                   0                     50 2            0           99                   1                     44 2            2           93                   1                     44 2            4           92                   1                     44 2            6           95                   1                     44 3            0           91                   0                     57 3            2           98                   0                     57 3            3           94                   0                     57 3            4           96                   0                     57   This is the code I am using:   proc mixed data=data.fa; class ID year exposure; model outcome = exposure year outcome*year age v12 v13 v14 v15; repeated/ subject=id*exposure type=cs; run;   Any ideas why the convergence is only met when putting id*exposure in the subject statment in the proc mixed model above? Is this correct? Is the code above reading the data correctly? Do I need to format the data differently to make it read a longitudinal outcome with baseline fixed features?   Thank you!       ... View more