Hello all,
I am working with a dataset in Stata 15.1 using the melogit command. My data structure is:
Code:
* Example generated by -dataex-. To install: ssc install dataex
clear
input long location float(patient_tech_ratio major_error_event)
1      2.75 0
1      2.75 0
1         3 0
1      2.25 0
2      2.25 0
1         3 0
2         3 0
1         3 0
1       1.5 0
1       2.5 0
1 2.3333333 0
1         2 0
1         3 0
1      2.75 0
1         3 0
1       2.5 0
2         3 0
1 2.3333333 0
1         3 0
1         3 0
end
label values location location
label def location 1 "Cornell", modify
label def location 2 "OVC", modify
My model is melogit major_error_event patient_tech_ratio|| location:

where major_error_event is binary and patient_tech_ratio is theoretically continuous. I want to determine the location averaged estimated patient_tech_ratio and 95% CI for this estimate that the model predicts would result in a probability of a major error event of 0.1. I can back calculate by hand from the model output, but is there an easier way?