BookmarkSubscribeRSS Feed
🔒 This topic is solved and locked. Need further help from the community? Please sign in and ask a new question.
Blain
Fluorite | Level 6

I'm trying to run a survival model where I first need to create a vector (named 'time' here) which contains all unique t given c=1. 

 

My final goal is to create a file or table where I can see the log likelihood for each value of t and find the t for which the log likelihood is maximum. My model is as follows:

 

proc phreg data = data; 
	model t*c(0) = Z1 Z2 / ties=Breslow; 
	dum = g-1; 
	if t > time then do Z2=dum; Z1=0; end; 
	else do Z2=0; Z1=dum; end; 
run;

Note that t=survival time, c=censoring status, g=group. I want to create a vector called 'time' which is the unique death times derived from t and c. Then I want to run the model for each value of 'time' and save the likelihood to create a table. 

1 ACCEPTED SOLUTION

Accepted Solutions
PaigeMiller
Diamond | Level 26

Okay, I see the error, please go back to my original example code where it says:

 

proc sql noprint;
    select distinct t into :time separated by ' ' from data;
quit;

That's what you missed.

--
Paige Miller

View solution in original post

10 REPLIES 10
PaigeMiller
Diamond | Level 26

An outline of the solution:

 

proc sql noprint;
    select distinct t into :time separated by ' ' from data;
quit;

%macro dothis;
    %do i = 1 %to %sysfunc(countw(&time));
        %let thistime = %scan(&time,&i,%str( ));
        /* You will need to create an output data set from PROC PHREG */
        proc phreg data=data;
             ...
             if t > &thistime then do z2=dum; z1=0; end;
             ...
         run;
         data outputdataset;
               set outputdataset;
               time=&thistime;
         end;
         proc append base=all_outputs new=outputdataset;
         run;
    %end;
%mend;
%dothis
--
Paige Miller
Blain
Fluorite | Level 6

Thanks for your reply but I think I'm still struggling to append the data sets. I was able to save the value of the log likelihood only for the first loop. I attach the data file here and the codes I tried (without the attempt to append as it would give an error) are as follows:

 

data data_9_3uniq;
set data_9_3;
if c=1;
run;

proc sql noprint;
  select distinct t into :time from data_9_3uniq;
quit;

%macro dothis;
    %do i = 1 %to %sysfunc(countw(&time));
        %let thistime = %scan(&time,&i,%str( ));
		ods output FitStatistics=Fit; 
        proc phreg data=data_9_3;
             model t*c(0) = Z1 Z2 / ties=Breslow;
			 g_dum = g-1;
             if t > &thistime then do Z2=g_dum; Z1=0; end;
             else do Z2=0; Z1=g_dum; end;
         run;
         data outputdataset_&i;
               set Fit;
               time=&thistime;
			   keep time Criterion WithCovariates;
			   if Criterion="-2 LOG L";
		 run;
    %end;
%mend;
%dothis

I want to append the results from outputdataset_&i to a single file. So, the final data set will have unique times (&thistime) and the corresponding -2logLik or Lik.  

 

 

PaigeMiller
Diamond | Level 26

@Blain wrote:

Thanks for your reply but I think I'm still struggling to append the data sets. I was able to save the value of the log likelihood only for the first loop. I attach the data file here and the codes I tried (without the attempt to append as it would give an error) are as follows:


My example code uses PROC APPEND.

--
Paige Miller
Blain
Fluorite | Level 6

I think I need to use proc append as you suggested. But when I run the codes it gives me an error and the results do not append successfully. I'm quite inexperienced so couldn't reproduce. It will be great if you can make time and use the attached data to show an example. I just added the codes that ran before the proc append step in my previous reply. 

PaigeMiller
Diamond | Level 26

@Blain wrote:

But when I run the codes it gives me an error and the results do not append successfully. 


Show us your code. Show us the LOG including the errors, by clicking on the {i} icon and pasting the log into that window.

--
Paige Miller
Blain
Fluorite | Level 6

Hi, I ran the following code without any error in the log this time: 

data data_9_3uniq;
set data_9_3;
if c=1;
run;

proc sql noprint;
  select distinct t into :time from data_9_3uniq;
quit;

%macro dothis;
    %do i = 1 %to %sysfunc(countw(&time));
        %let thistime = %scan(&time,&i,%str( ));
		ods output FitStatistics=Fit; 
        proc phreg data=data_9_3;
             model t*c(0) = Z1 Z2 / ties=Breslow;
			 g_dum = g-1;
             if t > &thistime then do Z2=g_dum; Z1=0; end;
             else do Z2=0; Z1=g_dum; end;
         run;
         data outputdataset;
               set Fit;
               time=&thistime;
			   keep time Criterion WithCovariates;
			   if Criterion="-2 LOG L";
			   run;
         proc append base=all_outputs new=outputdataset;
         run;
    %end;
%mend;
%dothis

But the likelihoods didn't append into all_outputs. It only shows me 1 row for %time=1. Maybe I'm making some mistake.

PaigeMiller
Diamond | Level 26

As a diagnostic tool, you need to actually look at your data sets, with your own eyes, and see what is in them.

 

But, since I can't look at YOUR data sets, please see how many observations are in data_9_3uniq. Is there 1 observation? Is there 1 distinct value of t?

--
Paige Miller
Blain
Fluorite | Level 6
There are 80 unique t in my data set. So, time should have 80 unique values. I attached the data set for your reference.
PaigeMiller
Diamond | Level 26

Okay, I see the error, please go back to my original example code where it says:

 

proc sql noprint;
    select distinct t into :time separated by ' ' from data;
quit;

That's what you missed.

--
Paige Miller

SAS Innovate 2025: Register Now

Registration is now open for SAS Innovate 2025 , our biggest and most exciting global event of the year! Join us in Orlando, FL, May 6-9.
Sign up by Dec. 31 to get the 2024 rate of just $495.
Register now!

How to Concatenate Values

Learn how use the CAT functions in SAS to join values from multiple variables into a single value.

Find more tutorials on the SAS Users YouTube channel.

SAS Training: Just a Click Away

 Ready to level-up your skills? Choose your own adventure.

Browse our catalog!

Discussion stats
  • 10 replies
  • 5378 views
  • 0 likes
  • 2 in conversation