Hi all, I ran the following system of probit models using proc qlim (find syntax bellow). The journal is requesting I report confidence intervals instead of standard errors for the parameter estimates. Is there a way to either a) get CI using SAS syntax; or b) formula to generate CI using parameter estimates and SE; or c) an explanation that reviewers would accept as to why my model doesn't produce CI? Thank you! Maria Title "Qulim toddler"; proc qlim data=Parent_survey; where age ne 1; class inc race; model M = mon inc race ; model TM = mon inc race ; model IF = mon inc race ; model NDM = mon inc race ; endogenous IF TM M NDM ~ discrete; test M.inc_1 = M.inc_2; test M.race_1 = M.race_2; test M.race_1 = M.race_3; test M.race_1 = M.race_4; test M.race_2 = M.race_3; test M.race_2 = M.race_4; test M.race_3 = M.race_4; test TM.inc_1 = TM.inc_2; test TM.race_1 = TM.race_2; test TM.race_1 = TM.race_3; test TM.race_1 = TM.race_4; test TM.race_2 = TM.race_3; test TM.race_2 = TM.race_4; test TM.race_3 = TM.race_4; test IF.inc_1 = IF.inc_2; test IF.race_1 = IF.race_2; test IF.race_1 = IF.race_3; test IF.race_1 = IF.race_4; test IF.race_2 = IF.race_3; test IF.race_2 = IF.race_4; test IF.race_3 = IF.race_4; test NDM.inc_1 = NDM.inc_2; test NDM.race_1 = NDM.race_2; test NDM.race_1 = NDM.race_3; test NDM.race_1 = NDM.race_4; test NDM.race_2 = NDM.race_3; test NDM.race_2 = NDM.race_4; test NDM.race_3 = NDM.race_4; output out=pred_tot_main predicted prob proball; run ; quit; Title "predictions toddler"; proc tabulate data= pred_baby_main; class inc race /missing; var Prob2_IF Prob2_TM Prob2_M Prob2_NDM; table inc, Prob2_IF*(MEAN) Prob2_TM*(MEAN) Prob2_M*(MEAN) Prob2_NDM*(MEAN); table race, Prob2_IF*(MEAN) Prob2_TM*(MEAN) Prob2_M*(MEAN) Prob2_NDM*(MEAN) ; run; proc tabulate data= pred_tot_main; class inc race /missing; var Prob2_IF Prob2_TM Prob2_M Prob2_NDM ; table Prob2_M*(MEAN) Prob2_TM*(MEAN) Prob2_IF*(MEAN) Prob2_NDM*(MEAN),inc ; table Prob2_M*(MEAN) Prob2_TM*(MEAN) Prob2_IF*(MEAN) Prob2_NDM*(MEAN),race ; run;
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