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/****************************************************************/
/* S A S S A M P L E L I B R A R Y */
/* */
/* NAME: qlifegs1 */
/* TITLE: Getting Started Example 1 for PROC QUANTLIFE */
/* PRODUCT: STAT */
/* SYSTEM: ALL */
/* KEYS: Quantile Regression, Survival Analysis */
/* */
/* PROCS: QUANTLIFE */
/* DATA: */
/* */
/* SUPPORT: Guixian Lin */
/* REF: */
/* MISC: */
/****************************************************************/
data HIV;
input Time Age Drug Status;
datalines;
5 46 0 1
6 35 1 0
8 30 1 1
3 30 1 1
22 36 0 1
1 32 1 0
7 36 1 1
9 31 1 1
3 48 0 1
12 47 0 1
2 28 1 0
12 34 0 1
1 44 1 1
15 32 1 1
34 36 0 1
1 36 0 1
4 54 0 1
19 35 0 0
3 44 1 0
2 38 0 1
2 40 0 0
6 34 1 1
60 25 0 0
11 32 0 1
2 42 1 0
5 47 0 1
4 30 0 0
1 47 1 1
13 41 0 1
3 40 1 1
2 43 0 1
1 41 0 1
30 30 0 1
7 37 0 1
4 42 1 1
8 31 1 1
5 39 1 1
10 32 0 1
2 51 0 1
9 36 0 1
36 43 0 1
3 39 0 1
9 33 0 1
3 45 1 1
35 33 0 1
8 28 0 1
11 31 0 1
56 20 1 0
2 44 0 0
3 39 1 1
15 33 0 1
1 31 0 1
10 33 0 1
1 50 1 1
7 36 1 1
3 30 1 1
3 42 1 1
2 32 1 1
32 34 0 1
3 38 1 1
10 33 0 0
11 39 1 1
3 39 1 1
7 33 1 1
5 34 1 1
31 34 0 1
5 46 1 1
58 22 0 1
1 44 1 1
3 37 0 0
43 25 0 1
1 38 0 1
6 32 0 1
53 34 0 1
14 29 0 1
4 36 1 1
54 21 0 1
1 26 1 1
1 32 1 1
8 42 0 1
5 40 1 1
1 37 1 1
1 47 0 1
2 32 1 1
7 41 1 0
1 46 1 0
10 26 1 1
24 30 0 0
7 32 1 1
12 31 1 0
4 35 0 1
57 36 0 1
1 41 1 1
12 36 1 0
7 35 1 1
1 34 1 1
5 28 0 1
60 29 0 0
2 35 1 0
1 34 1 1
;
ods graphics on;
proc quantlife data=hiv log plots=quantplot seed=1268;
class Drug;
model Time*Status(0) = Drug Age / quantile=(0.25 0.5 0.75);
Drug_Effect: test Drug;
run;