Risk-standardisation was performed using hierarchical logistic regression models.
The predicted and expected numbers of readmissions are calculated using hierarchical logistic regression models and the same risk variables as above; the calculation for the predicted number of readmissions includes a hospital-specific effect.
The effects that the change in x-ray distributions may have on performance between the two subpopulations was modelled using hierarchical logistic regression.
Multivariate models using hierarchical logistic regression assessed the association of weight outcomes at end of study with each demographic, weight loss history, psychological, and behavioral factor.
Each cohort is modeled separately using hierarchical logistic regression to construct five standardized predicted-to-expected risk ratios, which are then pooled to create a single hospital metric.
Multivariate models were constructed using hierarchical logistic regression to assess the association of weight outcomes (the dichotomous measure of whether the 7% weight loss goal was met) with each variable block (demographics, weight loss history, cognitive/psychological factors, and behaviors).
Factors influencing under-utilization of ANC were assessed using hierarchical logistic regression analysis.
We used hierarchical logistic regression models to investigate this hypothesis using cross-sectional, Demographic and Health Survey data from 10 sub-Saharan African countries.
The analyses used hierarchical logistic regression modeling to examine the effects of parental migration status, household characteristics and family processes across different measures of child well-being.
We used hierarchical logistic regression models to assess the effect of exposure to ePRISM on physicians' change in use of bleeding avoidance strategies and the incidence of post-procedural bleeding, corrected for concurrent trends among control hospitals.
To determine the factors associated with medication oversupply, we used hierarchical logistic regression because the data structure we used fit the model.
