PROC LOGISTIC - DIFFERENT WEIGHTS FOR DIFFERENT VARIABLES

[jazambuja]

Hi team,

I am currently working with the HSLS:09 survey  data. This dataset combines data from four mains surveys (students, parents,  math teachers and science teachers). Each one of these surveys has a different analytical weight associated with them. My logistic analysis uses variables from all these surveys.  Do you know how can I incorporate these different survey weights in the PROC SURVEYLOGISTIC or another procedure?

Can anyone help me with this? I am really struggling.

[tellmeaboutityo]

I've never personally done it, but I believe you can use proc glimmix with logistic assumptions.

proc glimmix data= survey; 
	class dv; 
	model dv = iv1 iv2 / dist=binomial link=logistic obsweight=weightvariable oddsratio solution; 
run; 

If binomial doesn't work, it might be bernoulli, which will give the same result.  I can't remember if glimmix allows both.