BookmarkSubscribeRSS Feed
🔒 This topic is solved and locked. Need further help from the community? Please sign in and ask a new question.
desireatem
Pyrite | Level 9

Hello, in the following data generation; I want to change the last observation for variable 'censored' to '0' when ever it is '1'. That is the 100th observation should have censored=0 , even if it is supposed to e 1

data test;

seed=-1;

  alpha1 = 2.50;

  beta1 = 9.50;

  do i = 1 to 100;

   lambdaT = 0.025; *baseline hazard;

   lambdaC= .03*light=0.15; *heavy=0.03;

   er=0+sqrt(0.0001)*rannor(1);

    t = rand("WEIBULL", 0.75, lambdaT);  * time of event;

    c = rand("WEIBULL", 1.25, lambdaC) ;* time of censoring;

    time = min(t, c);    * which came first?;

    censored = (c lt t);

      obs=(t lt c); * creating observation variable from censored when

      y= alpha1 + beta1*t + er;

    output;

  end;

run;

1 ACCEPTED SOLUTION

Accepted Solutions
Linlin
Lapis Lazuli | Level 10

data test;

seed=-1;

  alpha1 = 2.50;

  beta1 = 9.50;

  do i = 1 to 100;

   lambdaT = 0.025; *baseline hazard;

   lambdaC= .03;  *light=0.15; *heavy=0.03;

   er=0+sqrt(0.0001)*rannor(1);

    t = rand("WEIBULL", 0.75, lambdaT);  * time of event;

    c = rand("WEIBULL", 1.25, lambdaC) ;* time of censoring;

    time = min(t, c);    * which came first?;

    censored =ifn(i ne 100,(c lt t),0);

      obs=(t lt c); * creating observation variable from censored when

      y= alpha1 + beta1*t + er;

    output;

  end;

run;

View solution in original post

1 REPLY 1
Linlin
Lapis Lazuli | Level 10

data test;

seed=-1;

  alpha1 = 2.50;

  beta1 = 9.50;

  do i = 1 to 100;

   lambdaT = 0.025; *baseline hazard;

   lambdaC= .03;  *light=0.15; *heavy=0.03;

   er=0+sqrt(0.0001)*rannor(1);

    t = rand("WEIBULL", 0.75, lambdaT);  * time of event;

    c = rand("WEIBULL", 1.25, lambdaC) ;* time of censoring;

    time = min(t, c);    * which came first?;

    censored =ifn(i ne 100,(c lt t),0);

      obs=(t lt c); * creating observation variable from censored when

      y= alpha1 + beta1*t + er;

    output;

  end;

run;

sas-innovate-2026-white.png



April 27 – 30 | Gaylord Texan | Grapevine, Texas

Registration is open

Walk in ready to learn. Walk out ready to deliver. This is the data and AI conference you can't afford to miss.
Register now and lock in 2025 pricing—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
  • 1 reply
  • 747 views
  • 0 likes
  • 2 in conversation