- Im running an nbreg on CysC is the outcome. I have a key variables: Race, age, sex, diabetes, smoking, depression, and diagnosis.
- This is my model: nbreg OCRP_ADJ i.DX i.reth agey ragender diab drink smokev cesd, irr has 2,476 listwise deletions
- There are 2,476 values for CYSC that dont have a race value.
- I want to impute the missing Race variable and impute the 2,476 values
- When i run mi impute regress Stata skips over the 2,476 values I want to impute.

mi register imputed reth

mi impute regress reth OCYSC_ADJ agey ragender diab drink smokev cesd if (miss_OCYSC_ADJ==0), noconstant add(10) force

Univariate imputation Imputations = 10

Linear regression added = 10

Imputed: m=21 through m=30 updated = 0

------------------------------------------------------------------

| Observations per m

|----------------------------------------------

Variable | Complete Incomplete Imputed | Total

-------------------+-----------------------------------+----------

reth | 4769 2476 0 | 7245

------------------------------------------------------------------

(complete + incomplete = total; imputed is the minimum across m

of the number of filled-in observations.)

Note: Right-hand-side variables (or weights) have missing values;

model parameters estimated using listwise deletion.

.

end of do-file

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