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Figure 2 | BMC Medical Research Methodology

Figure 2

From: Fitting parametric random effects models in very large data sets with application to VHA national data

Figure 2

GLMM parameter estimates and pooled 95% confidence bounds for random effects meta-regression (intercept, race) without veteran integrated service networks (VISNs) 13 and 14. *- Independent variables used in fitting model were: linear time; race (non-Hispanic white reference, indicator variables); sex (female reference); service disability percentage, marital status (single reference), residence status (urban/rural, rural reference), VISN region (Northeast, Mid-Atlantic, South, Midwest, and West, South reference); and number of comorbidities (1, 2, or 3+; none reference).

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