I would like to know how I can convert this formula into SAS code? Thanks in advance
bio.cov <- bio.cov %>% mutate(female = ifelse(sex == 0, TRUE, FALSE), kappa=ifelse(female, 61.9, 79.6), alpha=ifelse(female,-0.329,-0.411), srblack = ethnicity %in% c(4, 4001,4002,4003), eGFR = 141 * pmin(creatinine/kappa, 1)^alpha * pmax(creatinine/kappa, 1)^-1.209 * 0.993^age * ifelse(female, 1.018, 1) * ifelse(srblack, 1.159, 1))
how about this code?
But not tested because I don't know data structure and have no data.
data bio;
set bio;
female=ifn(sex=0, 1, 0);
kappa =ifn(female, 61.9, 79.6);
alpha =ifn(female,-0.329,-0.411);
srblack=ifn(ethnicity in (4,4001,4002,4003),1,0);
eGFR = 141 * min(creatinine/kappa, 1)**alpha *
max(creatinine/kappa, 1)**-1.209 *
0.993**age * ifn(female, 1.018, 1) *
ifn(srblack, 1.159, 1);
run;
how about this code?
But not tested because I don't know data structure and have no data.
data bio;
set bio;
female=ifn(sex=0, 1, 0);
kappa =ifn(female, 61.9, 79.6);
alpha =ifn(female,-0.329,-0.411);
srblack=ifn(ethnicity in (4,4001,4002,4003),1,0);
eGFR = 141 * min(creatinine/kappa, 1)**alpha *
max(creatinine/kappa, 1)**-1.209 *
0.993**age * ifn(female, 1.018, 1) *
ifn(srblack, 1.159, 1);
run;
Hi Kawakami,
Thanks for your help, suppose if my data doesn't have the information for ethnicity, can I write the formula like this?
data bio; set bio; female=ifn(sex=0, 1, 0); kappa =ifn(female, 61.9, 79.6); alpha =ifn(female,-0.329,-0.411); eGFR = 141 * min(creatinine/kappa, 1)**alpha * max(creatinine/kappa, 1)**-1.209 * 0.993**age * ifn(female, 1.018, 1) run;
I think it's fine.
You're just missing a semicolon at the end.
0.993**age * ifn(female, 1.018, 1);
It's finally time to hack! Remember to visit the SAS Hacker's Hub regularly for news and updates.
Learn how use the CAT functions in SAS to join values from multiple variables into a single value.
Find more tutorials on the SAS Users YouTube channel.
Ready to level-up your skills? Choose your own adventure.