A hierarchical Bayesian approach to calibrating the linear-quadratic model from clonogenic survival assay data

Joe Collis, Michael R Hill, James R Nicol, Philip J Paine, Jonathan A Coulter

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Abstract

We propose a Bayesian hierarchical model applicable to the calibration of the linear-quadratic model of radiation dose-response. Experimental data used in model calibration were taken from a clonogenic survival assay conducted on human breast cancer cells (MDA-MB-231) across a range of radiation doses (0-6Gy). Employing Markov-chain Monte Carlo methods, we calibrated the proposed Bayesian hierarchical model, computed posterior distributions for the model parameters and survival fraction dose-response probability densities. Key contributions include the proposal of a model that incorporates multiple sources of inter- and intra-experiment variability commonly neglected in the standard frequentist approach and its subsequent application to in vitro experimental data.

Original languageEnglish
Pages (from-to)541-546
JournalRadiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
Volume124
Issue number3
Early online date01 Sep 2017
DOIs
Publication statusPublished - Sep 2017

Keywords

  • Journal Article

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