A novel Bayesian generative approach for estimating tumor dynamics from published studies
Arya Pourzanjani,
Saurabh Modi,
Jamie Connarn
et al.
Abstract:Tumor growth inhibition (TGI) modeling attempts to describe the time course changes in tumor size for patients undergoing cancer therapy. TGI models present several advantages over traditional exposure–response models that are based explicitly on clinical end points and have become a popular tool in the pharmacometrics community. Unfortunately, the data required to fit TGI models, namely longitudinal tumor measurements, are sparse or often not available in literature or publicly accessible databases. On the co… Show more
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