Please use this identifier to cite or link to this item:
https://physrep.ff.bg.ac.rs/handle/123456789/1183| Title: | Multivariable modeling of radiotherapy outcomes, including dose-volume and clinical factors | Authors: | El Naqa, Issam Bradley, Jeffrey Blanco, Angel I Lindsay, Patricia E Vićić, Miloš Hope, Andrew Deasy, Joseph O |
Keywords: | Information theory;Logistic regression;Model selection;Normal tissue complication probability;Radiotherapy;Treatment response modeling | Issue Date: | 15-Mar-2006 | Journal: | International journal of radiation oncology, biology, physics | Abstract: | The probability of a specific radiotherapy outcome is typically a complex, unknown function of dosimetric and clinical factors. Current models are usually oversimplified. We describe alternative methods for building multivariable dose-response models. |
URI: | https://physrep.ff.bg.ac.rs/handle/123456789/1183 | ISSN: | 0360-3016 | DOI: | 10.1016/j.ijrobp.2005.11.022 |
| Appears in Collections: | Journal Article |
Show full item record
SCOPUSTM
Citations
152
checked on Mar 27, 2025
Page view(s)
32
checked on Apr 2, 2025
Google ScholarTM
Check
Altmetric
Altmetric
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.