Use the GLOW_RAND data from Section 9.4 and fit a cluster-specific model using adaptive quadrature for estimation. Use FRACTURE as the response and covariates: calculated fracture risk score (FRAC_SCORE), age (AGE), and self-perception of risk (RATERISK). Include a random intercept for physician id (PHY_ID).
(a) Does the number of quadrature points appear to impact the model estimates?
(b) What happens if you test each covariate for a random slope?
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