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Multilevel analyses in drug utilization research

Merlo, Juan LU orcid and Leckie, George LU (2024) p.169-179
Abstract

Multilevel regression analysis (MLRA) is a statistical technique that is suitable for the study of correlated outcomes within multilevel organisational and other data structures. This chapter provides a short introduction to MLRA, stressing the multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) approach. It helps the readers to recognize the presence of multilevel structures in drug utilization research and assess when MAIHDA is necessary. From the statistical perspective, MLRA allows a better estimation of uncertainty by providing correct estimations of the standard errors of the regression coefficients in a regression analysis. Understanding unjustified medical practice variation is very relevant for... (More)

Multilevel regression analysis (MLRA) is a statistical technique that is suitable for the study of correlated outcomes within multilevel organisational and other data structures. This chapter provides a short introduction to MLRA, stressing the multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) approach. It helps the readers to recognize the presence of multilevel structures in drug utilization research and assess when MAIHDA is necessary. From the statistical perspective, MLRA allows a better estimation of uncertainty by providing correct estimations of the standard errors of the regression coefficients in a regression analysis. Understanding unjustified medical practice variation is very relevant for the evaluation of healthcare quality since it can reflect inappropriate clinical decisions that can then be addressed. MAIHDA can also be applied when the higher-level units are cells in a matrix defined by combining several categorical variables.

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Please use this url to cite or link to this publication:
author
and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Drug utilization research, Healthcare quality, Maihda approach, Medical practice variation, Multilevel regression analysis
host publication
Drug Utilization Research : Methods and Applications: Second Edition - Methods and Applications: Second Edition
pages
11 pages
publisher
Wiley
external identifiers
  • scopus:85211849013
ISBN
9781119911685
9781119911654
DOI
10.1002/9781119911685.ch16
language
English
LU publication?
yes
id
f2c3091a-f65e-4aa0-8a11-13516a95a26f
date added to LUP
2025-01-27 12:05:53
date last changed
2025-06-02 21:35:02
@inbook{f2c3091a-f65e-4aa0-8a11-13516a95a26f,
  abstract     = {{<p>Multilevel regression analysis (MLRA) is a statistical technique that is suitable for the study of correlated outcomes within multilevel organisational and other data structures. This chapter provides a short introduction to MLRA, stressing the multilevel analysis of individual heterogeneity and discriminatory accuracy (MAIHDA) approach. It helps the readers to recognize the presence of multilevel structures in drug utilization research and assess when MAIHDA is necessary. From the statistical perspective, MLRA allows a better estimation of uncertainty by providing correct estimations of the standard errors of the regression coefficients in a regression analysis. Understanding unjustified medical practice variation is very relevant for the evaluation of healthcare quality since it can reflect inappropriate clinical decisions that can then be addressed. MAIHDA can also be applied when the higher-level units are cells in a matrix defined by combining several categorical variables.</p>}},
  author       = {{Merlo, Juan and Leckie, George}},
  booktitle    = {{Drug Utilization Research : Methods and Applications: Second Edition}},
  isbn         = {{9781119911685}},
  keywords     = {{Drug utilization research; Healthcare quality; Maihda approach; Medical practice variation; Multilevel regression analysis}},
  language     = {{eng}},
  pages        = {{169--179}},
  publisher    = {{Wiley}},
  title        = {{Multilevel analyses in drug utilization research}},
  url          = {{http://dx.doi.org/10.1002/9781119911685.ch16}},
  doi          = {{10.1002/9781119911685.ch16}},
  year         = {{2024}},
}