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QoL and costs were assessed using generic measures.
Univariate associations of cofactors with log transformed health care costs were assessed using ordinary linear regression.
Total and acute care-related component costs were assessed using the same methodology.
Medical procedures performed outside the hospital and transport costs were assessed using the national unit cost scale.
Pharmacy costs were assessed using 80% of published average wholesale price (AWP) for specific medications by National Drug Code NDCC) identifier, multiplied by the prescription quantity dispensed.
Total all-cause and gout-related follow-up costs were assessed using generalised linear models with a γ distribution and a log link, which avoids potential difficulties introduced by transformation and retransformation of the dependent variable.
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The significance of the difference in total costs with and without productivity costs was assessed using regression models.
The correlation between LOS and hospital costs was assessed using Spearman's rank correlation coefficient.
Generalized linear mixed models (GLMMs) provide a flexible way to model production traits that do not satisfy the assumptions of an ordinary least-square regression, e.g. cost data.[ 32] Therefore, the economic impact of BMI change on type 2 diabetes total direct costs was assessed using three GLMMs with a log link function and gamma error distribution.
Predictors of treatment and cost were assessed using Chi-square and logistic regression analyses of demographics and past-year medication use and comorbidities.
Costs of delivery were assessed using a questionnaire 12 weeks postpartum and were included in the direct costs.
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