I am doing an analysis where I want to compare whether some associations differ between people who eat much Fish and People who eat less Fish. I have multiple imputed datasets, and use the suest command. The code looks as follows:
Code:
cap program drop mysuest
program mysuest, eclass properties(mi)
version 15.0
args model1 model2
qui `model1'
estimates store est1
qui `model2'
estimates store est2
suest est1 est2
estimates drop est1 est2
ereturn local title "Seemingly unrelated estimation"
end
eststo: mi estimate (diffAs: [est1_mean]logAs - [est2_mean]logAs) (diffHg: [est1_mean]logHg - [est2_mean]logHg), post nocoef: ///
mysuest "regress PCT_5mC logAs logHg i.sex i.smoking if TOTAL_Fish_Intake<23.72" "regress PCT_5mC logAs logHg i.sex i.smoking if TOTAL_Fish_Intake>=23.72&TOTAL_Fish_Intake!=."
est store PCT_5mC_suest_fish
Code:
esttab PCT_5mC_suest_fish using PCT_5mC_suest.rtf, ci compress nostar nogaps nonumber noconstant nobaselevels brackets replace
Code:
Multiple-imputation estimates Imputations = 100
Seemingly unrelated estimation Number of obs = 630
Average RVI = 0.0108
Largest FMI = 0.0138
DF adjustment: Large sample DF: min = 523,849.92
avg = 1.01e+07
Within VCE type: Robust max = 1.97e+07
diffAs: [est1_mean]logAs - [est2_mean]logAs
diffHg: [est1_mean]logHg - [est2_mean]logHg
------------------------------------------------------------------------------
| Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
diffAs | .0027628 .0092464 0.30 0.765 -.0153597 .0208854
diffHg | -.010537 .0154482 -0.68 0.495 -.0408149 .019741
------------------------------------------------------------------------------
Kjell
0 Response to Storing the results of suest on MI data
Post a Comment