I appreciate a recommendation on the best model (meglm or gllamm) to use for trended (time-series) analysis of data consisting of:
Complex (two-stage) sampling survey data, combined from 20 sites (states), each sampled and administrated separately over multiple years.
Each observation has a psu, stratum, and final weight, although not separate level 1 and level 2 weights.
In an ideal world, I would want to account for the complex survey design variables as well as the random effects or clustering by state.
I gather that the stratification variable cannot be used in the gllamm, and possibly the mixed effects model either. However, I could adjust for stratification variables (e.g. sex, race).
Thanks for your thoughts on this.
Complex (two-stage) sampling survey data, combined from 20 sites (states), each sampled and administrated separately over multiple years.
Each observation has a psu, stratum, and final weight, although not separate level 1 and level 2 weights.
In an ideal world, I would want to account for the complex survey design variables as well as the random effects or clustering by state.
I gather that the stratification variable cannot be used in the gllamm, and possibly the mixed effects model either. However, I could adjust for stratification variables (e.g. sex, race).
Thanks for your thoughts on this.
Comment