Comparing hierarchical modeling with traditional logistic regression analysis among patients hospitalized with acute myocardial infarction: Should we be analyzing cardiovascular outcomes data differently?
American Heart JournalPublished 1 January 2003
Peter C. Austi, J T, David A. Alte
Citations142
SJR quartileQ1
SJR score2.04
SNIP1.18
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TL;DR
Conventional logistic regression tended to increase the statistical significance for the effects of variables measured at the hospital-level compared to the level of significance indicated by the multilevel model, and false inferences can be drawn by ignoring the structure of the data.
Abstract
In comparing the resultant models, we see that false inferences can be drawn by ignoring the structure of the data. Conventional logistic regression tended to increase the statistical significance for the effects of variables measured at the hospital-level compared to the level of significance indicated by the multilevel model.
Keywords
MathematicsMedicine
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