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The role of generalized linear models in handling cost and count data
Lee, Christopher S. Conway, Catherine
Lee, Christopher S.
Conway, Catherine
Abstract
Scientists from nursing and allied health disciplines frequently examine data with complex distributions. Key examples include data on cost that typically are skewed, and count data like the number of hospitalizations that regularly have greater variation than expected and a majority of observations at zero. Common approaches to handling complex data involve transformations that can interfere with interpretation, or force-fitting of data into linear or logistic regression. In this article, worked examples of generalized linear models, which allow for flexibility in the distribution of data, involving cost and count outcomes, are presented to help expose researchers to their nuances.
Keywords
generalized linear modelling, research methods, cost, count data, complex distributions, quantitative methods
Date
2022
Type
Journal article
Journal
European Journal of Cardiovascular Nursing
Book
Volume
21
Issue
4
Page Range
392-398
Article Number
ACU Department
Faculty of Health Sciences
Collections
Relation URI
Source URL
Event URL
Open Access Status
License
All rights reserved
File Access
Controlled