interpreting coefficients fractional logit glimmix

janbeyers — Wed, 06 Jun 2018 18:01:53 GMT

I am currently analyzing some DV which represents aproportion and a fractional logit model seems most appropriate. In addition to this, my data has a multilevel structure, implying that I include a random intercept (hhic, legal and age are measures at the group-level agency).

This is the syntax:

proc glimmix data=consultations empirical;
class agency consultationtype(ref='1') complexitytext(ref="1") com_dummy(ref="0") format targetgroup;
model p_nonregulated=legal age hhic hhic*legal legal*age consultationtype complexitytext format duration l_mob_total
/dist=binomial link=logit solution;
random _residual_/subject=agency type=vc;
covtest/wald;
output out=predp pred(ilink)=p;
run;

My question concerns the interpretation of the coefficients, which I find difficult to interpret (in terms of change in the independent variable corresponds with variation in the dependent variable). More specifically, I have some coefficients which are pretty large (<3.00), although standard errors seems normal. My hunch is that this related to the scaling of the dependent and independent variable. Namely, the estimates where I have large coefficients concern covariates that range between 0 and 1 (HHIC is a proportion), while the esitmate (fixed effect) concerns how one unit change in the dependent variable shapes the outcome variable.

See the output attached.

Jan

topic interpreting coefficients fractional logit glimmix in Statistical Procedures

interpreting coefficients fractional logit glimmix