Statistical Procedures

Programming the statistical procedures from SAS
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Quartz | Level 8

I have the following data:

data have;
input ID $ Time_to_Event Event Age Treatment $ Weight;
datalines;
01 12 1 45 A 1.2
02 34 0 50 B 1.0
03 25 1 60 A 1.5
04 44 0 55 B 0.8
05 15 1 65 A 1.1
06 8 0 40 B 0.9
07 20 1 70 A 1.4
08 30 0 35 B 1.3
09 22 1 42 A 1.0
10 18 0 57 B 1.2
11 36 1 48 A 1.1
12 40 0 53 B 0.7
13 5 1 62 A 1.6
14 28 0 37 B 1.5
15 16 1 44 A 0.8
16 45 0 56 B 1.0
17 9 1 39 A 1.3
18 27 0 51 B 1.2
19 33 1 64 A 0.9
20 11 0 46 B 1.4
;
run;

 

proc phreg data=have;
class Treatment;
model Time_to_Event*Event(0) = Age Treatment;
weight Weight;
run;

 

Is there a way to add robust standard error here to account for the weight added in the Cox regression?

1 REPLY 1
OsoGris
SAS Employee
Robust standard errors are produced by the COVSANDWICH(AGGREGATE) option on the PROC PHREG statement. You will also need an ID statement to list the variable that defines your clusters.

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