st: mi impute chained troubleshooting

[Jacob McDermott <jpmcd87@gmail.com>]

Hello Statalist,

The following mi impute chained command (unsurprisingly) returns an error
mi impute chained (ologit) educacion (regress) height hba1c_all 
glucose_all hdl_all ldl_all triglyc_all crp_all tc_all  (logit) obesidad 
tension corazon diabetes smoke1 exercise1, add(5) by(female)
The issue rising from collinearity due to the inclusion of tc(total 
cholesterol) along with ldl and hdl (major components of total cholesterol)
Note: tc_all ldl_all and hdl_all are continuous variables with roughly 
10% missing values
If I remove tc_all from the imputation command (or if I remove either 
ldl or hdl) everything runs just fine, but I do not get imputed values 
for tc_all.
Is there anything I can do to get imputed values for tc_all?

What I have been trying is running the above imputation command twice 
(once excluding tc_all and again excluding ldl_all), and then merging in 
tc_all imputed values from the second run into the first imputed 
dataset. My only real justification for this is that ldl and tc are 
highly correlated and the resulting imputed datasets appear to be very 
similar . Do you think this procedure is at all legitimate? Do you know 
of any alternatives?
Thanks for your help,
Jacob
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