command pbalchk with fator variables

[Jake Magel]

Hello, I am trying t use the command pbalchk to examine the balance of covariates with ipw weights. A shortened version of the model is below..daetaex would not accept all the variables becuase it was too many. I keep getting a error that pbalchk will not accept factor variables. Can you advise? Is it possible to use pbalchk and specify factor variables?


pbalchk pt_nopt ib0.agecat ib0.sex ib0.urb_rural ib0.insur_cat ib0.high_dprc , wt(ipt_wt)

 * Example generated by -dataex-. To install: ssc install dataex clear input long person_id float(pt_nopt agecat sex urb_rural high_dprc) 31667 0 0 0 1 0 32318 0 4 1 1 0 19493 0 2 0 1 1 23984 0 0 1 1 0 31852 0 0 0 1 0 41659 0 0 0 1 0 23610 0 3 1 1 0 1239 0 0 1 1 0 43597 0 4 0 1 0 10766 0 1 1 0 0 24148 0 4 1 1 0 40014 0 1 0 1 0 24222 0 3 1 1 0 7455 0 4 1 1 0 26468 0 4 1 0 0 49046 0 4 1 0 0 379 0 2 1 1 0 17246 0 3 0 1 0 849 0 2 1 1 0 25780 0 1 1 1 0 24539 0 1 1 1 1 30316 0 0 1 1 0 28353 0 0 1 1 2 24412 0 0 1 1 0 12309 0 2 1 1 1 45131 0 4 1 1 0 31800 0 6 1 1 0 10678 0 1 1 1 0 49679 0 1 1 0 0 20905 0 3 0 1 0 13808 0 1 1 1 0 823 0 2 0 0 0 16344 0 0 1 1 0 24687 0 1 1 1 0 49068 0 2 0 2 0 29688 0 3 0 1 0 9725 0 2 0 1 0 39006 0 0 1 1 1 18322 0 1 0 0 0 34363 0 3 0 1 0 30714 0 4 1 1 0 24845 0 1 0 1 0 14268 0 0 0 1 0 43042 0 2 0 0 0 733 0 4 1 1 0 35389 0 2 0 1 2 35577 0 0 0 0 0 21602 0 0 0 0 0 29515 0 3 0 1 0 16199 0 1 1 1 0 30346 0 1 0 1 0 40830 0 1 1 1 0 29207 0 1 1 0 0 25319 0 1 0 1 0 11565 0 1 0 1 0 32818 0 1 1 1 1 46444 0 3 0 1 1 26574 0 0 1 1 0 20961 0 1 1 0 0 16211 0 2 0 1 1 41446 0 0 1 2 2 31047 0 4 1 1 0 7205 0 0 1 0 1 25411 0 1 0 1 0 10734 0 1 1 1 2 28888 0 0 1 1 0 48630 0 3 1 0 0 25358 0 1 1 1 0 38016 0 2 0 1 0 18566 0 1 1 1 0 51091 0 1 0 0 0 25693 0 4 1 1 0 25700 0 5 0 1 0 13598 0 2 0 1 0 25705 0 6 1 1 0 40361 0 1 1 0 0 3800 0 1 0 0 1 47078 0 0 1 1 0 25775 0 0 0 0 0 12930 0 0 0 1 0 5829 0 0 1 1 0 29757 0 1 0 1 0 4545 0 4 0 0 0 1453 0 4 1 2 2 25863 0 3 0 1 0 12581 0 3 0 1 0 40037 0 0 1 1 0 25936 0 4 0 1 0 16876 0 1 1 0 0 700 0 2 0 1 0 18242 0 4 0 1 1 50143 0 2 0 1 0 19737 0 1 0 0 0 23112 0 3 1 1 0 7107 0 3 0 1 0 12929 0 1 0 2 1 290 0 2 0 1 0 15442 0 4 0 1 0 5304 0 0 1 1 0 22846 0 2 1 1 0 end label values pt_nopt pt_nopt_lab label def pt_nopt_lab 0 "0 no PT", modify label values agecat agecat_lab label def agecat_lab 0 "0= 18-29", modify label def agecat_lab 1 "1=30-39", modify label def agecat_lab 2 "2=40-49", modify label def agecat_lab 3 "3= 50-59", modify label def agecat_lab 4 "4=60-69", modify label def agecat_lab 5 "5=70-79", modify label def agecat_lab 6 "6=80-89", modify label values sex sex_lab label def sex_lab 0 "0 = female", modify label def sex_lab 1 "1=male", modify label values urb_rural urb_rural_lab label def urb_rural_lab 0 " 0 = rur", modify label def urb_rural_lab 1 "1 = urban", modify label def urb_rural_lab 2 "2 = mis", modify label values high_dprc high_dprc_lab label def high_dprc_lab 0 "0= not HD", modify label def high_dprc_lab 1 "1= high DP", modify label def high_dprc_lab 2 "2= mis", modify

[Weiwen Ng]

You may have to revert to using the xi: prefix command. I'm not familiar with the command you referenced, but it's likely the authors haven't updated it to accept the usual factor variable syntax.