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## Cox and Weibull hazard ratio

Hello,

I'm trying to calculate the Cox hazard ratio for survival in men versus women. I thought I had the code right, but when I run it I'm only generating an HR for women (sex=0). I thought the AT statement would give me a HR for both men and women. There are no censored data.

Using the same data I'm also trying to calculate (as an alternative) the Weibull HR (men vs women), Weibull hazard plot (men vs women) and a Weibull survival plot (men vs women). I found a lot of information for calculating Cox proportional hazards, but not the Weibull HR or its plots. If anyone can't point me in the right direction or help with coding, it would be much appreciated. I've attached my code and a sample of my data below. Thank you. I'm using SAS UE.

data cox;

input time censor survival sex;

datalines;

0.008213552 1 0.996666667 1
0.010951403 1 0.993333333 0
0.019164956 1 0.99 1
0.030116359 1 0.986666667 0
0.032854209 1 0.983333333 0
0.035592061 1 0.98 0
0.049281314 1 0.976666667 1
0.060232717 1 0.973333333 0
0.065708419 1 0.97 0
0.06844627 1 0.966666667 0
0.07118412 1 0.963333333 0
0.073921971 1 0.96 0
0.076659822 1 0.956666667 0
0.087611225 1 0.953333333 0
0.093086927 1 0.95 0
0.095824778 1 0.946666667 0
0.101300479 1 0.943333333 1
0.109514031 1 0.94 0
0.114989733 1 0.936666667 1
0.134154689 1 0.933333333 0
0.142368241 1 0.93 0
0.150581793 1 0.926666667 0
0.161533196 1 0.923333333 0
0.169746749 1 0.92 1
0.17248461 1 0.916666667 1
0.191649555 1 0.913333333 0
0.210814511 1 0.91 0
0.227241615 1 0.906666667 1
0.235455168 1 0.903333333 0
0.246406571 1 0.9 0
0.271047228 1 0.896666667 0
0.27926078 1 0.893333333 1
0.287474333 1 0.89 1
0.323066393 1 0.886666667 1
0.331279945 1 0.883333333 0
0.334017796 1 0.88 0
0.388774812 1 0.876666667 0
;

run;

proc phreg data=cox plots(overlay)=(survival);
class sex;
model time*censor(0)=sex ;
baseline covariates=cox / rowid=sex;
hazardratio sex/at(sex=all) ;
run;