Encountering very long processing times when trying to assess the proportional hazards assumption in a Cox regression model. I am having to terminate the process due to long wait times. The problem persists regardless of whether I am using SAS Base 9.4 (on Windows desktop) or SAS Studio (Mac). Below is the code, where &cat is a list of categorical variables (n=23), and &cont is a list of continuous variables (n=3).
proc phreg data=work.outcomes_fnl3_wocong; class demo_age1 (REF='<50') demo_gender (REF='M') primdx (REF='Ischemic') preop_cr1 (REF='<0.9') preop_bili1 (REF='<1.2') comorb_dm (REF="0") comorb_dial (REF="0") comorb_copd (REF="0") comorb_htn (REF="0") comorb_cvd (REF="0") preop_abo (REF='A') preop_pra_sens (REF="<20") preop_ino (REF="0") preop_ecmo (REF="0") preop_iabp (REF="0") preop_vent (REF="0") cvs_prev_typ (REF="VALVE") donor_age1 (REF='<50') donor_gender (REF='M') donor_cod (REF='Head Trauma') induct (REF='0') postop_plasma (REF='0') op_era (REF="2004-2010") / param=ref; model mort_y*mort(0)=&cat &cont / rl SELECTION = STEPWISE SLS = .05 SLE = .05; assess var=(&cont)ph / resample; run;
Re-titled, and moved to procedures community.
How long does it take to run if you just fit one model instead of using stepwise selection?
In particular, how long to fit the full model? I suspect that you may have to make some subject matter decisions regarding the independent variables to get this down to a workable size.
SteveDenham
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