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Regression models for analyzing radiological visual grading studies - an empirical comparison.

Saffari, S Ehsan; Löve, Askell LU ; Fredrikson, Mats and Smedby, Örjan (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.
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author
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
BMC Medical Imaging
volume
15
publisher
BioMed Central
external identifiers
  • pmid:26515510
  • wos:000363921400001
  • scopus:84945565694
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
2015-11-04 20:09:09
date last changed
2017-01-01 05:23:09
@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.},
  articleno    = {49},
  author       = {Saffari, S Ehsan and Löve, Askell and Fredrikson, Mats and Smedby, Örjan},
  issn         = {1471-2342},
  language     = {eng},
  publisher    = {BioMed Central},
  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},
  volume       = {15},
  year         = {2015},
}