Hello,

I am having some problems with the final results of my imputation. I administered the Beck Anxiety Inventory a 21-item screening test designed to measure the occurrence and severity of anxiety symptoms (BAI_SCORE) at baseline, month 3 and month 6. Total raw scores were obtained by summing the 21 item scores with possible scores ranging from 0 to 63. Data was missing on the BAI outcome as well as other IVs (INTSCORE_M6 = an intensity family contact scale)and covariates (PWAS_M_2 = mean score for parental warmth; FAM_M3 = whether or not family therapy took place; OYAS = recidivism risk). I used variables with full data as well as other auxiliary ones to impute the variables with missing data.

HTML Code:
set seed 832016
mi set wide 
mi register imputed INF_M6a INTSCORE_M6 BAI_SCORE_1 BAI_SCORE_2 PWAS_M_1 PWAS_M_2 FAM_M3 FAM_M6 OYAS_FINAL_C 
mi register regular BAI_SCORE_0 BDI_SCORE_0 INTSCORE_M3 PWAS_M_0 VIC_M3a AGE_AD MILES LENGTH2 DUMMY_RACE EXITR
mi impute chained (nbreg) INF_M6a (poisson) BAI_SCORE_1 BAI_SCORE_2 INTSCORE_M6 (regress) PWAS_M_1 PWAS_M_2 (logit) FAM_M3 FAM_M6 (ologit) OYAS_FINAL_C = BAI_SCORE_0 BDI_SCORE_0 INTSCORE_M3 PWAS_M_0 VIC_M3a AGE_AD MILES LENGTH2
When I checked the imputed table I noticed that the number of imputed observations did not match the number of incomplete observations but the total row shows the number of the complete data. Also, I noticed that the BAI in the imputed data had values that exceeded the possible range (0-64).

Any recommendations or suggestions are highly appreciated.

Best,

Roxy