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
UMPA-ENSL - Unité de Mathématiques Pures et Appliquées, Inria Grenoble - Rhône-Alpes
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.
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Clinical Pharmacology and Therapeutics, American Society for Clinical Pharmacology and Therapeutics, 2014, 96 (2), pp.133 - 135. 〈10.1038/clpt.2014.111〉
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http://www.hal.inserm.fr/inserm-01084276
Contributeur : Thu Thuy Nguyen <>
Soumis le : mardi 18 novembre 2014 - 21:46:10
Dernière modification le : mercredi 11 avril 2018 - 01:59:27
Document(s) archivé(s) le : jeudi 19 février 2015 - 12:25:41

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

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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〉

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