Hierarchical regression

Hierarchical regression examines the relation between independent variables or predictor variables (e.g., age, sex, disease severity) and a dependent variable (or outcome variable; e.g., death, exercise capacity). Hierarchical regression differs from standard regression in that one predictor is a subcategory of another predictor. The lower-level predictor is nested within the higher-level predictor. For instance, in a regression predicting likelihood of withdrawal of life support in intensive care units (ICUs) participating in an international study, city is nested within country and ICU is nested within city.

Hierarchical regression Resources
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