Hi!
I have a survey sample with complex sampling design. So suppose I have to use commands like "proc surveyfreq" to get estimates. However, the dependent variable of interest is a dichotomous indicator reflecting rare events (e.g. smoking). For example, only 20 of 20000 students are smokers. I want to see how other factors (e.g. gender) influence the likelihood of being a smoker. Is there any method to deal with this kind of data? If yes, any special issue I should pay attention to? Thank you!
Surveylogistic or Surveyreg are probably good starting points. Assuming predominately class type data for most of the independent variables, gender, ethnicity, race then mostly Surveylogistic.
Don't miss out on SAS Innovate - Register now for the FREE Livestream!
Can't make it to Vegas? No problem! Watch our general sessions LIVE or on-demand starting April 17th. Hear from SAS execs, best-selling author Adam Grant, Hot Ones host Sean Evans, top tech journalist Kara Swisher, AI expert Cassie Kozyrkov, and the mind-blowing dance crew iLuminate! Plus, get access to over 20 breakout sessions.
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.