Hello:
Working on MI
Everything works up to the MI estimate. See Error below
Have been to the Stata manual and viewed the videos and believe i am reproducing exactly what is recommended but with no luck.

I appreciate any advice/help.

Code:
use opioid_temp, clear
mi set mlong
mi register imputed conf5_refer1_rc ddppq_adequacy_totrev ddppq_legitmacy_totrev ddppq_support_totrev ddppq_esteem_totrev ///
ddppq_satisfaction_totrev /*ddppq_tot_rev*/gender_rc yearssincegrad ocs_or_fell perc_msk perc_takeopioid ///
/*oft_curropioid oft_pastopioid oft_goalopioid oft_redopioid oft_histmisuse*/ ptrole_opiodi_rc hrs_trainmisuse_rc
mi impute chained (regress) ddppq_adequacy_totrev ddppq_legitmacy_totrev ddppq_support_totrev ddppq_esteem_totrev ///
ddppq_satisfaction_totrev /*ddppq_tot_rev*/ yearssincegrad perc_msk perc_takeopioid, add(10) rseed(888)
mi impute chained (logit) conf5_refer1_rc ptrole_opiodi_rc hrs_trainmisuse_rc gender_rc, add(10)
mi xeq 0 1 10: sum ddppq_adequacy_totrev ddppq_legitmacy_totrev ddppq_support_totrev ddppq_esteem_totrev ///
ddppq_satisfaction_totrev yearssincegrad perc_msk perc_takeopioid conf5_refer1_rc ptrole_opiodi_rc hrs_trainmisuse_rc gender_rc
mi estimate : logistic conf5_refer1_rc ddppq_adequacy_totrev ddppq_legitmacy_totrev ddppq_support_totrev ddppq_esteem_totrev ddppq_satisfaction_totrev ///
gender_rc yearssincegrad ocs_or_fell perc_msk perc_takeopioid ptrole_opiodi_rc hrs_trainmisuse_rc

Error:
​​​​​​Imputations (20):
.........10x
estimation sample varies between m=1 and m=11; click here for details

sample data
Code:
* Example generated by -dataex-. To install: ssc install dataex
clear
input byte conf5_refer1_rc float(ddppq_adequacy_totrev ddppq_legitmacy_totrev ddppq_support_totrev ddppq_esteem_totrev ddppq_satisfaction_totrev) byte gender_rc float(yearssincegrad ocs_or_fell perc_msk perc_takeopioid)
0 27 13  4 19 19 0  3 1 5 3
0 25 11 16 21 17 0  8 1 3 2
1 23  9 13 16 14 1 30 1 5 2
0 24  8  7 15 13 0  6 1 5 2
0 19  5  9 14 15 1  5 0 5 1
1 22  9  7 11 12 1  5 1 5 2
1 25 11 13 21 17 1 19 1 5 2
0 35 13  4 17 17 0 23 1 5 1
1 35 12 14 21 17 0 21 1 1 1
0 22  7  5 13 15 0 41 0 4 1
1 38 10 16 25 20 1 35 0 5 3
1 26 11 16 17 16 1 31 1 2 2
0 16 11  6 17 16 0  4 0 4 4
1 28 11 15 21 14 0 29 0 1 1
1 31 11 12 21 17 0 13 0 1 1
0 30 13 17 18 22 0 15 1 5 3
1 31  9 13 17 20 0  . 0 5 3
1 37 13 11 18 20 0 18 1 1 2
1 15 11  6 15 18 1 37 1 5 3
0 36 11 16 17 11 1  1 0 5 3
1 30 11 19 16 19 1  1 0 5 3
1 35 11 11 21 22 0 53 0 5 1
0 16 10 15 11 13 1  5 1 5 2
1 30 10 19 18 20 1  3 0 2 2
0 25 11  6 23 19 1  4 0 4 4
0 10  9  4 16 13 1 12 0 1 1
0 11 11 12 17 18 1  1 0 5 2
0 31 11 16 21 16 1 25 1 5 2
1 29 13 16 22 14 1  3 1 5 1
1 15 11  . 18 18 1 17 1 1 1
. 22 11  .  .  . 1  3 0 5 2
1 33 11 16 25 19 1 36 0 1 1
1 32 10  9 14 14 0  3 0 5 3
0 29 10 14 18 10 0  1 0 5 3
.  .  .  .  .  . 0 17 0 5 1
0 36 13 19 16 16 0  2 1 5 2
1 26 10 12 16 15 0  7 1 5 2
1 38 13  3 23 23 1 25 0 1 1
1 28 11  7 18 19 1  2 0 4 2
1 32  9 10 20 18 1 13 0 2 4
0 25  7 13 16 25 1  3 0 5 3
0 29  8 12  . 12 1 17 0 2 5
0 12  9  3 22 15 1 20 1 5 1
1 36 11 10 23 20 1 21 0 5 4
0 29 13 10 21 20 1  . 0 5 2
1 40 13 10 23 25 0  3 0 2 4
. 36 13  .  .  . . 38 1 5 1
1 30 11 16 16 16 1  8 0 5 3
1 36 12 16 20 18 1 15 1 1 1
0 22 11  7 19 19 0 20 1 5 3
0 19  8 13 11 11 0  9 0 5 3
1 34  9 13 22 18 1 40 0 5 .
1 28 10 16 17 17 1 26 0 1 1
1 37 11 16 21 21 0 30 0 4 3
1 31 13 19 17 22 1 10 1 5 2
1 33 13 16 21 17 1 42 1 5 2
1 28  9 13 17 17 0  6 0 3 3
1 41 13 18 22 21 1 15 0 1 2
1 16 11 16 22 18 1  1 0 5 2
1 26 13 19 22 11 1 29 0 1 2
0 19 10 11 14 17 1  1 0 5 4
1 16  3 13  8 11 1  1 0 5 3
.  .  .  .  .  . 0 15 1 5 2
1 17 11 19 19 15 0 15 1 5 2
0 28  9 16 18 16 0 16 1 5 3
1 35 13 16 16 17 0 37 0 5 2
0 20 11 14 14 16 1  4 1 2 3
0 25 11 13 18 17 1  3 0 3 4
0 33  8 10 21 19 0  2 0 5 2
1 35 11 13 20 17 1 24 0 5 3
1  .  7 18 18 14 1 20 1 5 1
1 36 12 18 21 22 1 10 0 1 3
1 30 11 10 22 23 0 17 1 1 2
0 21 10  7 18 12 1  4 0 5 3
1 22 13 12 15 14 0  4 1 1 3
1 27  9  8 23 11 1  4 1 4 1
.  .  .  .  .  . 0  8 1 5 1
1 34 11 16 14 21 0  2 0 5 3
0 19 12  8 12  9 1 10 0 5 4
0 22  9  7 13 11 0  7 1 5 3
0 34  9 13 22 21 1  7 0 1 1
0 20  9 16 16 14 1  1 0 5 3
. 23  7 10 14 14 0  2 1 5 4
. 26  9  .  .  . 0 22 1 5 3
0 15 11  7 21 22 0 11 1 1 3
1 26 11 16 17 16 1  3 0 5 2
1 39 12 16 20 18 0 26 1 2 2
0 33  9 11 25 14 1  1 0 5 3
1 28 12 13 11 22 0 16 1 5 2
1 22  4 13 22 16 1 19 1 1 3
1 32 10 16 16 15 1 28 0 3 4
1 30 11  7 11 15 1 37 1 5 3
1 18 11 15 22 15 0 31 0 5 2
0 28 11 16 17 17 1  5 0 5 4
1 12 11 16 17 13 0  2 0 5 4
.  .  .  .  .  . 0 10 1 5 1
0 29 13 13 20 17 0  6 1 5 3
1 34 13 19 21 21 1 31 0 5 1
1 33  9 19 20 17 0 12 1 5 3
1 36 10 17 24 21 1 28 1 5 3
end
label values conf5_refer1_rc confreflab1
label def confreflab1 0 "0 1-4 less confident", modify
label def confreflab1 1 "1 5-7 more confident", modify
label values gender_rc gendlab
label def gendlab 0 "0 male and other", modify
label def gendlab 1 "1 female", modify
label values perc_msk perc_msk_
label def perc_msk_ 1 "0 - 20%", modify
label def perc_msk_ 2 "21- 40%", modify
label def perc_msk_ 3 "41 - 60%", modify
label def perc_msk_ 4 "61 - 80%", modify
label def perc_msk_ 5 "81 - 100%", modify
label values perc_takeopioid perc_takeopioid_
label def perc_takeopioid_ 1 "0 - 20%", modify
label def perc_takeopioid_ 2 "21- 40%", modify
label def perc_takeopioid_ 3 "41 - 60%", modify
label def perc_takeopioid_ 4 "61 - 80%", modify
label def perc_takeopioid_ 5 "81 - 100%", modify