I am doing a project where I need to create a KM curve for "freedom from heart arrhythmias at 1, 3, and 5 years post heart surgery" (where everyone in the dataset HAS had the surgery) I've set up and my graph and felt like it was correct (Code and graph below) However, when I sent it over to my boss, he said the numbers from last time this was done do not match up. I've racked my brain and played around a lot with proc lifetest, but my numbers don't change too much no matter how I look at it. Does anyone else know what variables COULD change survival rates in this scenario? Brainstorming ideas welcome. Because I feel like I've frankly tried everything short of just having my code be disastrously wrong. My numbers, survival at: 1 year: 94% 3 years: 60% 5 years: 25% My bosses numbers: 1 year: 84% 3 years: None 5 years: 64% My variables: abnormal heart beat after surgery Y (1) / N (0) = Rec_AF Living Status Alive (1) / Dead (0) ** with those who had the event coded as 0) = Status Follow up time = tot.fu (variables in data set now used: Gender, age at last FU, time interval till patient had event, type of event, ) ods graphics on / attrpriority=color;
ods output survivalplot=survplot;
run;
proc lifetest data=hp.maze_database conftype=loglog plots=survival
timelist=(1 3 5) outs=surv_rate reduceout alpha=.05;
time tot_fu*Status(0);
title "AF recurrance after MAZE" ;
run;
proc sgplot data=survplot noborder nowall;
step x=time y=survival / lineattrs=(color=darkblue thickness=2);
xaxis label='Years post Maze' values=(0 to 5 by 1) labelattrs=(size=13 weight=bold);
yaxis label='Proportion Who have AF recurrence' values=(0 to 1.0 by 0.2) ;
run;
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