The Use of Model-Based Tumor-Size Metrics to Predict Survival - Inserm - Institut national de la santé et de la recherche médicale Access content directly
Journal Articles Clinical Pharmacology and Therapeutics Year : 2014

The Use of Model-Based Tumor-Size Metrics to Predict Survival

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.
Fichier principal
Vignette du fichier
CPT_Ribba_14.pdf (174.65 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

inserm-01084276 , version 1 (18-11-2014)

Identifiers

Cite

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, 2014, 96 (2), pp.133 - 135. ⟨10.1038/clpt.2014.111⟩. ⟨inserm-01084276⟩
290 View
320 Download

Altmetric

Share

Gmail Facebook Twitter LinkedIn More