Dear All,
I have a dataset with a count variable which takes the values 0,1,2 and three other columns which include smoking, alcohol and bmi information (they are all categorical variables). I also have an exposure column which I am planning to use as an offset variable in my poisson model.
I was wondering whether someone provide me with some information on how to write a code that will enable me to decide which is the best fitted model using the BIC criterion? I would like the code to look among all possible models in this case 8 models. I am planning to extend the code later to include a large number of variables.
I really hope you can help.
Many thanks,
A
If you are using SAS version 9.3, look as experimental procedure TCOUNTREG. The statement MODEL ... / SELECT=(INFO(CRITER=AIC or SBC)) gives you model selection capabilities based on information criteria.
PG
Join us for SAS Innovate April 16-19 at the Aria in Las Vegas. Bring the team and save big with our group pricing for a limited time only.
Pre-conference courses and tutorials are filling up fast and are always a sellout. Register today to reserve your seat.
Learn how use the CAT functions in SAS to join values from multiple variables into a single value.
Find more tutorials on the SAS Users YouTube channel.