Hi everyone,
I need some help in knowing how to ensure that the simulated data sets created after running imputation model using the Stata MI dashboard have missing values replaced. I'm struggling with this problem for some time . Below is my syntax working with 5 imputation sets .
misstable summarize phq2_rawscores bmi_18 phq9_score
mi set flong
mi register imputed phq2_rawscores bmi_18 phq9_score
mi register regular sex age_18 urdu_literacy english_literacy cellphone_own internetuse medications delay_meds smoking_ever employment mstatus_reg smokeless_reg cmmnew_april
mi impute chained (regress) phq2_rawscores bmi_18 phq9_score = sex age_18 urdu_literacy english_literacy cellphone_own internetuse medications delay_meds smoking_ever employment mstatus_reg smokeless_reg cmmnew_april, add(5) rseed(12345)
mi estimate : regress phq2_rawscores age_18 ib(1).sex ib(0).cmmnew_april ib(1).mstatus_reg ib(0).employment ib(0).smokeless_reg bmi_18 ib(0).urdu_literacy ib(0).english_literacy ib(0).medications ib(0).smoking_ever ib(0).delay_meds
I appreciate your help
Thanks
Asra
I need some help in knowing how to ensure that the simulated data sets created after running imputation model using the Stata MI dashboard have missing values replaced. I'm struggling with this problem for some time . Below is my syntax working with 5 imputation sets .
misstable summarize phq2_rawscores bmi_18 phq9_score
mi set flong
mi register imputed phq2_rawscores bmi_18 phq9_score
mi register regular sex age_18 urdu_literacy english_literacy cellphone_own internetuse medications delay_meds smoking_ever employment mstatus_reg smokeless_reg cmmnew_april
mi impute chained (regress) phq2_rawscores bmi_18 phq9_score = sex age_18 urdu_literacy english_literacy cellphone_own internetuse medications delay_meds smoking_ever employment mstatus_reg smokeless_reg cmmnew_april, add(5) rseed(12345)
mi estimate : regress phq2_rawscores age_18 ib(1).sex ib(0).cmmnew_april ib(1).mstatus_reg ib(0).employment ib(0).smokeless_reg bmi_18 ib(0).urdu_literacy ib(0).english_literacy ib(0).medications ib(0).smoking_ever ib(0).delay_meds
I appreciate your help
Thanks
Asra
