The Use of Model-Based Tumor-Size Metrics to Predict Survival: Analysis of survival using model-based tumor-size metrics

Benjamin Ribba 1, * Nick Holford 2 France Mentré 3
* Auteur correspondant
1 NUMED - Numerical Medicine
Inria Grenoble - Rhône-Alpes, UMPA-ENSL - Unité de Mathématiques Pures et Appliquées
2 Department of Pharmacology
3 IAME - Infection, Antimicrobiens, Modélisation, Evolution
Abstract : Mixed-effect models are increasingly being used to analyze the time-course of tumor size and to identify tumor size metrics as predictors of overall survival in cancer patients. However, caution is needed interpreting the results of such analyses and applying them to clinical research. Sparse individual tumor data as a result of patient mortality can lead to falsely conclusions about tumor size metrics as predictors of overall survival.
Type de document :
Article dans une revue
Clinical Pharmacology and Therapeutics, American Society for Clinical Pharmacology and Therapeutics, 2014, 96 (2), pp.133 - 135. 〈10.1038/clpt.2014.111〉
Liste complète des métadonnées
https://www.hal.inserm.fr/inserm-01084276
Contributeur : Emmanuelle Comets <>
Soumis le : mardi 18 novembre 2014 - 21:46:10
Dernière modification le : vendredi 4 janvier 2019 - 17:33:33
Document(s) archivé(s) le : jeudi 19 février 2015 - 12:25:41

Fichier

CPT_Ribba_14.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

ENS-LYON | UNIV-PARIS13 | INRIA | USPC | IAME

Citation

Benjamin Ribba, Nick Holford, France Mentré. The Use of Model-Based Tumor-Size Metrics to Predict Survival: Analysis of survival using model-based tumor-size metrics. Clinical Pharmacology and Therapeutics, American Society for Clinical Pharmacology and Therapeutics, 2014, 96 (2), pp.133 - 135. 〈10.1038/clpt.2014.111〉. 〈inserm-01084276〉

Exporter

BibTeX TEI DC DCterms EndNote

Partager

Métriques

Consultations de la notice

302

Téléchargements de fichiers

172

Contact

support.ccsd.cnrs.fr
hal.support@ccsd.cnrs.fr
Logo CCSD