Predicting progression-free survival after systemic therapy in advanced head and neck cancer: Bayesi...
Predicting progression-free survival after systemic therapy in advanced head and neck cancer: Bayesian regression and model development
About this item
Full title
Author / Creator
Barber, Paul R , Mustapha, Rami , Flores-Borja, Fabian , Alfano, Giovanna , Ng, Kenrick , Weitsman, Gregory , Dolcetti, Luigi , Suwaidan, Ali Abdulnabi , Wong, Felix , Vicencio, Jose M , Galazi, Myria , Opzoomer, James W , Arnold, James N , Thavaraj, Selvam , Kordasti, Shahram , Doyle, Jana , Greenberg, Jon , Dillon, Magnus T , Harrington, Kevin J , Forster, Martin , Coolen, Anthony CC and Ng, Tony
Publisher
England: eLife Sciences Publications Ltd
Journal title
Language
English
Formats
Publication information
Publisher
England: eLife Sciences Publications Ltd
Subjects
More information
Scope and Contents
Contents
Advanced head and neck squamous cell carcinoma (HNSCC) is associated with a poor prognosis, and biomarkers that predict response to treatment are highly desirable. The primary aim was to predict progression-free survival (PFS) with a multivariate risk prediction model.
Experimental covariates were derived from blood samples of 56 HNSCC patients...
Alternative Titles
Full title
Predicting progression-free survival after systemic therapy in advanced head and neck cancer: Bayesian regression and model development
Authors, Artists and Contributors
Author / Creator
Mustapha, Rami
Flores-Borja, Fabian
Alfano, Giovanna
Ng, Kenrick
Weitsman, Gregory
Dolcetti, Luigi
Suwaidan, Ali Abdulnabi
Wong, Felix
Vicencio, Jose M
Galazi, Myria
Opzoomer, James W
Arnold, James N
Thavaraj, Selvam
Kordasti, Shahram
Doyle, Jana
Greenberg, Jon
Dillon, Magnus T
Harrington, Kevin J
Forster, Martin
Coolen, Anthony CC
Ng, Tony
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_f01407f956a24b9e8f9a0385ed5d4e28
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_f01407f956a24b9e8f9a0385ed5d4e28
Other Identifiers
ISSN
2050-084X
E-ISSN
2050-084X
DOI
10.7554/eLife.73288
