Reference effect measures for quantifying, comparing and visualizing variation from random and fixed effects in non-normal multilevel models, with applications to site variation in medical procedure use and outcomes

Reference effect measures for quantifying, comparing and visualizing variation from random and fixed effects in non-normal multilevel models, with applications to site variation in medical procedure use and outcomes

Abstract Background Multilevel models for non-normal outcomes are widely used in medical and health sciences research. While methods for interpreting fixed effects are well-developed, methods to quantify and interpret random cluster variation and compare it with other sources of variation are less e...

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Bibliographic Details
Main Authors: Thomas J. Glorioso, Gary K. Grunwald, P. Michael Ho, Thomas M. Maddox
Format: Article
Language:English
Published: BMC 2018-07-01
Series:BMC Medical Research Methodology
Subjects:
Facility variation
Generalized linear mixed model
Hierarchical model
Hospital variation
Interval odds ratio
Median odds ratio
Online Access:http://link.springer.com/article/10.1186/s12874-018-0517-7

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http://link.springer.com/article/10.1186/s12874-018-0517-7

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