Hello,
I would like to get 95%CI for pointestimates for adjusted cumulative incidence function curves that were produced by "stcrreg" and "stcurve".
I could get pointestimates for CIF, but cannnot produce 95%CIs for the pointestimates by the following.
Would anyone help with producing 95%CI following to the codes below?
*********
*(1) Fine and Gray
stset days, failure(evt_cif==1)
stcrreg i.main_var i.drug, compete(evt_cif==2)
stcurve, cif at1 (main_var=1) at2 (main_var=2) at3 (main_var=3) range(0 150) ylabel(0 (0.1) 1.0) outfile(CIF_FIG1, replace)
*********
For Cox model, I could get pointwise 95%CI by using "survci" as explained by Cefalu(2011).
So I wonder if there are ways to do similar as following, using "stcrreg" for competing-risk regression models of Fine and Gray.
*********
*(2) COX
stset year, failure(event==1)
sts graph, by(main_var) adjustfor (agegroup drug)
sts list, by(main_var) adjustfor (agegroup drug) /*only point estimates and no 95%CI*/
stcox agegroup druggroup if main_var==1
survci, survival at1 (agegroup=0, drug=0) outfile (main_1, replace failonly)
stcox agegroup druggroup if main_var==2
survci, survival at1 (agegroup=0, drug=0) outfile (main_2, replace failonly)
stcox agegroup druggroup if main_var==3
survci, survival at1 (agegroup=0, drug=0) outfile (main_3, replace failonly)
********
Thank you,
Yachi
I would like to get 95%CI for pointestimates for adjusted cumulative incidence function curves that were produced by "stcrreg" and "stcurve".
I could get pointestimates for CIF, but cannnot produce 95%CIs for the pointestimates by the following.
Would anyone help with producing 95%CI following to the codes below?
*********
*(1) Fine and Gray
stset days, failure(evt_cif==1)
stcrreg i.main_var i.drug, compete(evt_cif==2)
stcurve, cif at1 (main_var=1) at2 (main_var=2) at3 (main_var=3) range(0 150) ylabel(0 (0.1) 1.0) outfile(CIF_FIG1, replace)
*********
For Cox model, I could get pointwise 95%CI by using "survci" as explained by Cefalu(2011).
So I wonder if there are ways to do similar as following, using "stcrreg" for competing-risk regression models of Fine and Gray.
*********
*(2) COX
stset year, failure(event==1)
sts graph, by(main_var) adjustfor (agegroup drug)
sts list, by(main_var) adjustfor (agegroup drug) /*only point estimates and no 95%CI*/
stcox agegroup druggroup if main_var==1
survci, survival at1 (agegroup=0, drug=0) outfile (main_1, replace failonly)
stcox agegroup druggroup if main_var==2
survci, survival at1 (agegroup=0, drug=0) outfile (main_2, replace failonly)
stcox agegroup druggroup if main_var==3
survci, survival at1 (agegroup=0, drug=0) outfile (main_3, replace failonly)
********
Thank you,
Yachi
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