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Original Articles

Assessment of Antitumor Activity for Tumor Xenograft Studies Using Exponential Growth Models

Pages 472-483 | Received 12 Oct 2009, Accepted 28 Mar 2010, Published online: 24 Mar 2011

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David Gold, Lixin Lang & Kim Zerba. (2019) Practical statistical considerations for investigating anti-tumor treatments in mice. Journal of Applied Statistics 46:2, pages 272-285.
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Márton György Almásy, András Hörömpő, Dániel Kiss & Gábor Kertész. (2022) A review on modeling tumor dynamics and agent reward functions in reinforcement learning based therapy optimization. Journal of Intelligent & Fuzzy Systems 43:6, pages 6939-6946.
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Erin Butler, Blake Schwettmann, Sophie Geboers, Guiyang Hao, Jiwoong Kim, Kien Nham, Xiankai Sun, Theodore W. Laetsch, Lin Xu, Noelle S. Williams & Stephen X. Skapek. (2020) Functional imaging of RAS pathway targeting in malignant peripheral nerve sheath tumor cells and xenografts. Pediatric Blood & Cancer 67:12.
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William F. Forrest, Bruno Alicke, Oleg Mayba, Magdalena Osinska, Michal Jakubczak, Pawel Piatkowski, Lech Choniawko, Alice Starr & Stephen E. Gould. (2020) Generalized Additive Mixed Modeling of Longitudinal Tumor Growth Reduces Bias and Improves Decision Making in Translational Oncology. Cancer Research 80:22, pages 5089-5097.
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Derek Gordon & David E. Axelrod. (2019) A reliable method to determine which candidate chemotherapeutic drugs effectively inhibit tumor growth in patient-derived xenografts (PDX) in single mouse trials. Cancer Chemotherapy and Pharmacology 84:6, pages 1167-1178.
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Dean C. Bottino & Arijit Chakravarty. 2016. Pharmacokinetics in Drug Development. Pharmacokinetics in Drug Development 209 235 .
Lili ZhaoDai FengBrian NeelonMarc Buyse. (2015) Evaluation of treatment efficacy using a Bayesian mixture piecewise linear model of longitudinal biomarkers. Statistics in Medicine 34:10, pages 1733-1746.
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