How to find the proc template codes applied in proc lifetest ?

[Ivy]

Hello, 

I am trying to create KM plot based on customized "PRODUCTLIMITESTIMATES" table output from proc lifetest .

Any way I can find the graph part codes in proc lifetest so to customize the codes to create my own plot?

Thanks

Ivy 

[Reeza]

Yes, but it's not SGPLOT code, it's SGTEMPLATE code, assuming this is related to your previous question. IMO, SGPLOT code is easier to modify/understand.

The code will be in the log. 

proc template;
source Stat.Lifetest.Graphics.ProductLimitSurvival;
run;

[Ivy]

Thanks very much, Reeza.
That is what I needs.
May I ask another question?
Any way to find the data applied in proc template so I can arrange my data as what is used in proc template?

[WarrenKuhfeld]

Spoiler

 I wrote an entire chapter on customizing the KM plot back before I retired. https://support.sas.com/documentation/onlinedoc/stat/151/kaplan.pdf 

[Reeza]

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@WarrenKuhfeld wrote:

Spoiler

 I wrote an entire chapter on customizing the KM plot back before I retired. https://support.sas.com/documentation/onlinedoc/stat/151/kaplan.pdf 

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Agreed, and usually my reference point except OP has their own KM data they want to plot from a customized life estimate table, not from PROC LIFETEST it seems.

[Ivy]

Thank you very much !
Great resource!

[Reeza · Accepted solution]

You can find all of this through ODS TRACE. It specifies the template used and the data set used, which can then be captured via ODS OUTPUT. 

Here's some instructions and explanations on how to capture output that is shown.
https://blogs.sas.com/content/sastraining/2017/03/31/capturing-output-from-any-procedure-with-an-ods...

data VALung;
   drop check m;
   retain Therapy Cell;
   infile cards column=column;
   length Check $ 1;
   label SurvTime='Failure or Censoring Time'
      Kps='Karnofsky Index'
      DiagTime='Months till Randomization'
      Age='Age in Years'
      Prior='Prior Treatment?'
      Cell='Cell Type'
      Therapy='Type of Treatment'
      Treatment='Treatment Indicator';
   M=Column;
   input Check $ @@;
   if M>Column then M=1;
   if Check='s'|Check='t' then input @M Therapy $ Cell $ ;
   else input @M SurvTime Kps DiagTime Age Prior @@;
   if SurvTime > .;
   censor=(SurvTime<0);
   SurvTime=abs(SurvTime);
   Treatment=(Therapy='test');
   datalines;
standard squamous
 72 60  7 69  0   411 70  5 64 10   228 60  3 38  0   126 60  9 63 10
118 70 11 65 10    10 20  5 49  0    82 40 10 69 10   110 80 29 68  0
314 50 18 43  0  -100 70  6 70  0    42 60  4 81  0     8 40 58 63 10
144 30  4 63  0   -25 80  9 52 10    11 70 11 48 10
standard small
 30 60  3 61  0   384 60  9 42  0     4 40  2 35  0    54 80  4 63 10
 13 60  4 56  0  -123 40  3 55  0   -97 60  5 67  0   153 60 14 63 10
 59 30  2 65  0   117 80  3 46  0    16 30  4 53 10   151 50 12 69  0
 22 60  4 68  0    56 80 12 43 10    21 40  2 55 10    18 20 15 42  0
139 80  2 64  0    20 30  5 65  0    31 75  3 65  0    52 70  2 55  0
287 60 25 66 10    18 30  4 60  0    51 60  1 67  0   122 80 28 53  0
 27 60  8 62  0    54 70  1 67  0     7 50  7 72  0    63 50 11 48  0
392 40  4 68  0    10 40 23 67 10
standard adeno
  8 20 19 61 10    92 70 10 60  0    35 40  6 62  0   117 80  2 38  0
132 80  5 50  0    12 50  4 63 10   162 80  5 64  0     3 30  3 43  0
 95 80  4 34  0
standard large
177 50 16 66 10   162 80  5 62  0   216 50 15 52  0   553 70  2 47  0
278 60 12 63  0    12 40 12 68 10   260 80  5 45  0   200 80 12 41 10
156 70  2 66  0  -182 90  2 62  0   143 90  8 60  0   105 80 11 66  0
103 80  5 38  0   250 70  8 53 10   100 60 13 37 10
test squamous
999 90 12 54 10   112 80  6 60  0   -87 80  3 48  0  -231 50  8 52 10
242 50  1 70  0   991 70  7 50 10   111 70  3 62  0     1 20 21 65 10
587 60  3 58  0   389 90  2 62  0    33 30  6 64  0    25 20 36 63  0
357 70 13 58  0   467 90  2 64  0   201 80 28 52 10     1 50  7 35  0
 30 70 11 63  0    44 60 13 70 10   283 90  2 51  0    15 50 13 40 10
test small
 25 30  2 69  0  -103 70 22 36 10    21 20  4 71  0    13 30  2 62  0
 87 60  2 60  0     2 40 36 44 10    20 30  9 54 10     7 20 11 66  0
 24 60  8 49  0    99 70  3 72  0     8 80  2 68  0    99 85  4 62  0
 61 70  2 71  0    25 70  2 70  0    95 70  1 61  0    80 50 17 71  0
 51 30 87 59 10    29 40  8 67  0
test adeno
 24 40  2 60  0    18 40  5 69 10   -83 99  3 57  0    31 80  3 39  0
 51 60  5 62  0    90 60 22 50 10    52 60  3 43  0    73 60  3 70  0
  8 50  5 66  0    36 70  8 61  0    48 10  4 81  0     7 40  4 58  0
140 70  3 63  0   186 90  3 60  0    84 80  4 62 10    19 50 10 42  0
 45 40  3 69  0    80 40  4 63  0
test large
 52 60  4 45  0   164 70 15 68 10    19 30  4 39 10    53 60 12 66  0
 15 30  5 63  0    43 60 11 49 10   340 80 10 64 10   133 75  1 65  0
111 60  5 64  0   231 70 18 67 10   378 80  4 65  0    49 30  3 37  0
;

ods trace on;
ods output survivalplot=want;
proc lifetest data=VALung plots=(s,ls,lls) outtest=Test maxtime=600;
   time SurvTime*Censor(1);
   id Therapy;
   strata Cell;
   test Age Prior DiagTime Kps Treatment;
run;
ods trace off;

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@Ivy wrote:
Thanks very much, Reeza.
That is what I needs.
May I ask another question?
Any way to find the data applied in proc template so I can arrange my data as what is used in proc template?

---