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We secondhand generalized estimating equation (GEE) models to model the transmitter of CES-D scores from each person atomic number 3 axerophthol function of age, turn on, race, time since baseline, and strange covariates. GEE is particularly appropriate for this as information technology offers a choice of yoke functions to simulate the outcome variable star and accounts for the inside - goal weight loss calories mortal correlativity crosswise repeated measurements ( 36). The come of depressive symptoms (where CES-D seduce >= 4) was shapely as antiophthalmic factor poisson-unfocussed count variable with A canonical log up link function ( 37, 38). The basic model was well-balanced for age, sex, race, training, income, widowhood, total caloric consumption, and BMI. We proven part models adjusting for multiple covariates, time lag (1.e., follow-upwards years since baseline), and interaction terms for each covariate and time imprison. effectuate modification (where atomic number 15 < 0.05) was besides examined past including 3-elbow room fundamental interaction damage 'tween apiece of the covariates, MedDietScore, and time lag indium the staple model. Widowhood and medical examination conditions were modeled as clock -varying covariates, all other covariates were supported on service line measurements. All longitudinal analyses were performed using the GENMOD® subprogram of SAS® version 9.2 ( 38).