data Patients; format Diagnosis_Date Followup_Date date9.; input Patient_ID $ Diagnosis_Date :date9. Followup_Date :date9. Obs Age Gender $ Condition $ Treatment $ Event $ event_fl; Days = Followup_Date - Diagnosis_Date; Months = (Followup_Date - Diagnosis_Date)/30; datalines; P001 05OCT2011 03JUL2015 1 45 Male Hyperten DrugA No 0 P002 13MAY2011 21MAY2011 2 60 Female Diabetes DrugB Yes 1 P003 17OCT2011 07NOV2015 3 50 Male HeartDis DrugA No 0 P004 08NOV2011 17NOV2016 4 39 Female Hyperten DrugC Yes 1 P005 16JUN2011 11FEB2015 5 48 Male Diabetes DrugB No 0 P006 11FEB2011 07NOV2014 6 55 Female Obesity DrugD Yes 1 P007 16JUN2011 10SEP2015 7 65 Male Hyperten DrugA Yes 1 P008 01NOV2011 09JAN2015 8 70 Female HeartDis DrugE No 0 P009 17MAR2011 11JUL2014 9 52 Male Diabetes DrugB Yes 1 P010 09NOV2011 05OCT2014 10 46 Female Obesity DrugC Yes 1 ; run; proc print data=Patients; title "Patients Dataset with Days Between Diagnosis and Follow-up Dates"; run; proc lifetest data = Patients method=km plots=survival (cb = hw test atrisk) timelist=25 30 35 40 45; time Months*event_fl(0); title "Kaplan Meier Analysis on time to death"; label Months = "Time to Death";
Hi Guys,
The attached code snippet is a sample data
this is KM survival analysis using proc lifetest
timelist=25 30 35 40 45
this is the timelist i using to find survival probability at 25th month, and 30th month ..... like that
along with that i need to find the survival at >50 months
i tried mentioning timelist=25 30 35 40 45 >50
this is not giving any results so i want to find a way to find survival probability at >50 (Note: I want to mention excatly >50)
Kindly give your inputs guys
Hello @carl_miles,
Just omit the ">" sign in the TIMELIST= option. The survival function S(t), which you estimate using the Kaplan-Meier method, is defined as the probability of the survival time being greater than t. So the ">" sign is implied and applies also to 25, 30, ... anyway.
As FreelanceReinh said, the value at time=50 is SDF, SDF=1-CDF , it is maybe just what you are looking for >50.
proc lifetest data = Patients method=km plots=survival (cb = hw test atrisk) timelist=25 30 35 40 45 50; time Months*event_fl(0); title "Kaplan Meier Analysis on time to death"; label Months = "Time to Death"; run;
Use this tutorial as a handy guide to weigh the pros and cons of these commonly used machine learning algorithms.
Find more tutorials on the SAS Users YouTube channel.