The role of generalized linear models in handling cost and count data
Journal article
Lee, Christopher S. and Conway, Catherine. (2022). The role of generalized linear models in handling cost and count data. European Journal of Cardiovascular Nursing. 21(4), pp. 392-398. https://doi.org/10.1093/eurjcn/zvac002
Authors | Lee, Christopher S. and 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 |
Year | 2022 |
Journal | European Journal of Cardiovascular Nursing |
Journal citation | 21 (4), pp. 392-398 |
Publisher | Oxford University Press |
ISSN | 1474-5151 |
Digital Object Identifier (DOI) | https://doi.org/10.1093/eurjcn/zvac002 |
PubMed ID | 35076072 |
Scopus EID | 2-s2.0-85131271041 |
Page range | 392-398 |
Publisher's version | License All rights reserved File Access Level Controlled |
Output status | Published |
Publication dates | |
Online | 24 Jan 2022 |
Publication process dates | |
Accepted | 11 Jan 2022 |
Deposited | 02 Aug 2023 |
https://acuresearchbank.acu.edu.au/item/8z705/the-role-of-generalized-linear-models-in-handling-cost-and-count-data
Restricted files
Publisher's version
59
total views0
total downloads0
views this month0
downloads this month