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
* Corresponding author
1 NUMED - Numerical Medicine
UMPA-ENSL - Unité de Mathématiques Pures et Appliquées, Inria Grenoble - Rhône-Alpes
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.
Document type :
Journal articles
Complete list of metadatas

https://www.hal.inserm.fr/inserm-01084276
Contributor : Emmanuelle Comets <>
Submitted on : Tuesday, November 18, 2014 - 9:46:10 PM
Last modification on : Wednesday, November 20, 2019 - 8:10:05 AM
Long-term archiving on : Thursday, February 19, 2015 - 12:25:41 PM

File

CPT_Ribba_14.pdf
Files produced by the author(s)

Identifiers

Collections

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⟩

Share

Metrics

Record views

358

Files downloads

349