Hi,
In my data, i have repeated measures from two waves and I used both fixed effects and random effects. I am getting risk estimates in opposite directions. I want to test which method is suitable for my data and I saw on internet and ChatGpt also suggested to use Hausman test but unfortunately I couldn't get much help on how to run/code it.
Below is my code, and if anyone can see how to use Husman's test to decide which method to use.
Fixed effects:
proc logistic data=analysis1;
class newid sex(ref='1') age_dik region(ref='North') / param=ref;
model anxiety (event='1') = temperature sex age_dik region rain / selection=none;
strata newid;
run;
Random effects:
proc genmod data=analysis1 descending;
class sex(ref='1') age_dik region(ref='North') newid;
model anxiety (ref='0') = temperature sex age_dik region rain/ dist=bin link=logit type3;
estimate 'temperature' temperature 1 / exp;
repeated subject=newid / type=exch ;
run;
Thank you for help!
