Open sxinger opened 3 months ago
@sxinger I have the MU data, including SDOH ready to do some beginning logistic regressions. How would you like to group the predictor variables like race/Hispanic/ruca? Should age be grouped (as we did earlier) or treated a continuous and mapped with linear/quadratic/cubic, etc? I ran a couple of models out of curiosity, and found that medicaid and age are highly significant, but Hispanic was not and race was not if SES was included.
@spinkac
How would you like to group the predictor variables like race/Hispanic/ruca?
For RACE, we can group the very rare races together into OT category For RUCA, we can follow this grouping rule: https://depts.washington.edu/uwruca/ruca-maps.php
Should age be grouped (as we did earlier) or treated a continuous and mapped with linear/quadratic/cubic, etc?
I think we can experiment a bit on this, and see which way would give us a better fitted model.
I ran a couple of models out of curiosity, and found that medicaid and age are highly significant, but Hispanic was not and race was not if SES was included.
Sounds like a good start. Can you also include ADI?
Things to do: