data Headache;
input Minutes Group Censor @@;
datalines;
11 1 0 12 1 0 19 1 0 19 1 0
19 1 0 19 1 0 21 1 0 20 1 0
21 1 0 21 1 0 20 1 0 21 1 0
20 1 0 21 1 0 25 1 0 27 1 0
30 1 0 21 1 1 24 1 1 14 2 0
16 2 0 16 2 0 21 2 0 21 2 0
23 2 0 23 2 0 23 2 0 23 2 0
25 2 1 23 2 0 24 2 0 24 2 0
26 2 1 32 2 1 30 2 1 30 2 0
32 2 1 20 2 1
;
proc lifereg data=Headache;
class Group;
model Minutes*Censor(1)=Group/Dist=Weibull;
run;
proc phreg data=Headache;
class group;
model Minutes*Censor(1)=Group;
run;
What do I need to do to have the predictive survival probability ?
Have you tried adding an OUTPUT statement?
Example
Documentation for OUTPUT statement
@desireatem wrote:
data Headache;
input Minutes Group Censor @@;
datalines;
11 1 0 12 1 0 19 1 0 19 1 0
19 1 0 19 1 0 21 1 0 20 1 0
21 1 0 21 1 0 20 1 0 21 1 0
20 1 0 21 1 0 25 1 0 27 1 0
30 1 0 21 1 1 24 1 1 14 2 0
16 2 0 16 2 0 21 2 0 21 2 0
23 2 0 23 2 0 23 2 0 23 2 0
25 2 1 23 2 0 24 2 0 24 2 0
26 2 1 32 2 1 30 2 1 30 2 0
32 2 1 20 2 1
;
proc lifereg data=Headache;
class Group;
model Minutes*Censor(1)=Group/Dist=Weibull;
run;
proc phreg data=Headache;
class group;
model Minutes*Censor(1)=Group;
run;What do I need to do to have the predictive survival probability ?
How about for proc PHREG predictive probability.
I can get the predictive probability using proc lifereg . Now my question is how about for phreg procedure
It's finally time to hack! Remember to visit the SAS Hacker's Hub regularly for news and updates.
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.