Regression models for analyzing radiological visual grading studies - an empirical comparison.
(2015) In BMC Medical Imaging 15.- Abstract
- For optimizing and evaluating image quality in medical imaging, one can use visual grading experiments, where observers rate some aspect of image quality on an ordinal scale. To analyze the grading data, several regression methods are available, and this study aimed at empirically comparing such techniques, in particular when including random effects in the models, which is appropriate for observers and patients.
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/8147761
- author
- Saffari, S Ehsan ; Löve, Askell LU ; Fredrikson, Mats and Smedby, Örjan
- organization
- publishing date
- 2015
- type
- Contribution to journal
- publication status
- published
- subject
- in
- BMC Medical Imaging
- volume
- 15
- article number
- 49
- publisher
- BioMed Central (BMC)
- external identifiers
-
- pmid:26515510
- wos:000363921400001
- scopus:84945565694
- pmid:26515510
- ISSN
- 1471-2342
- DOI
- 10.1186/s12880-015-0083-y
- language
- English
- LU publication?
- yes
- id
- c308ad18-af35-4de4-9eb6-abdcc6e29c81 (old id 8147761)
- alternative location
- http://www.ncbi.nlm.nih.gov/pubmed/26515510?dopt=Abstract
- date added to LUP
- 2016-04-01 12:57:21
- date last changed
- 2022-01-27 08:29:23
@article{c308ad18-af35-4de4-9eb6-abdcc6e29c81,
abstract = {{For optimizing and evaluating image quality in medical imaging, one can use visual grading experiments, where observers rate some aspect of image quality on an ordinal scale. To analyze the grading data, several regression methods are available, and this study aimed at empirically comparing such techniques, in particular when including random effects in the models, which is appropriate for observers and patients.}},
author = {{Saffari, S Ehsan and Löve, Askell and Fredrikson, Mats and Smedby, Örjan}},
issn = {{1471-2342}},
language = {{eng}},
publisher = {{BioMed Central (BMC)}},
series = {{BMC Medical Imaging}},
title = {{Regression models for analyzing radiological visual grading studies - an empirical comparison.}},
url = {{http://dx.doi.org/10.1186/s12880-015-0083-y}},
doi = {{10.1186/s12880-015-0083-y}},
volume = {{15}},
year = {{2015}},
}