Hello!
I would like to have the odds ratio spcified not according to a reference category of a variable but according to the "overall" risk.
I explain myself with an example:
explanatory variable name: hospital
explanatory variable categories:
response variable:
N total of observations= 12000;
Pct Readmissions= 3,5%
I would like to obtain the Odds ratios like these:
hospital A Vs overall avarage
hospital B Vs overall avarage
hospital C Vs overall avarage
hospital D Vs overall avarage
...so with a different parametrization from the classic one similar to the following:
hospital A Vs hospital D
hospital B Vs hospital D
hospital C Vs hospital D
if I use the following code I don't obtain results that I want, how should I change it?
proc logistic data=dataset-name PLOTS=all;
class hospital (param=effect );
model response variable(event='1')= hospital
/noint;
run;
thank you very much in advance!
See this note which compares the log odds for each group to the average log odds.
"if I use the following code I don't obtain results that I want, how should I change it?"
What results do you obtain then?
param=effect is the default of PROC LOGISTIC
I think, you're referring to the GLM parameterization, you can use PARAM=GLM, but it's also the default I believe.
Then you can take your estimates and exp(estimate) to get the odds ratio.
Or you can use the ODDSRATIO or ESTIMATE statements to build your hypothesis.
See this note which compares the log odds for each group to the average log odds.
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