Parametric estimation of complex mixed models based on meta-model approach

Autor: Barbillon, Pierre, Barthélémy, Célia, Samson, Adeline

Complex biological processes are usually experimented along time among a collection of individuals. Longitudinal data are then available and the statistical challenge is to better understand the underlying biological mechanisms. The standard statisti

Externí odkaz: http://arxiv.org/abs/1506.03313

Prediction of Response to Temozolomide in Low-Grade Glioma Patients Based on Tumor Size Dynamics and Genetic Characteristics

Autor: Mazzocco, P, Barthélémy, Célia, Kaloshi, G, Lavielle, Marc, Ricard, D, Idbaih, A, Psimaras, D, Renard, M-A, Alentorn, A, Honnorat, J, Delattre, J-Y, Ducray, F, Ribba, B

Publikováno v: CPT: Pharmacometrics and Systems Pharmacology
CPT: Pharmacometrics and Systems Pharmacology, 2015, 4 (12), pp.728-737. ⟨10.1002/psp4.54⟩
CPT: Pharmacometrics and Systems Pharmacology, American Society for Clinical Pharmacology and Therapeutics ; International Society of Pharmacometrics, 2015, 4 (12), pp.728-737. ⟨10.1002/psp4.54⟩

International audience; Both molecular profiling of tumors and longitudinal tumor size data modeling are relevant strategies to predict cancer patients' response to treatment. Herein we propose a model of tumor growth inhibition integrating a tumor's

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::b908197fdc8a385cf968d0ed5b11a3b7
https://hal.science/hal-01252076/document