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    Precision Analytics & Decision Sciences

    Precision Analytics & Decision Sciences

    Tools to Navigate Drug Development: applying advances in applied math / machine learning to refine the drug development paradigm


    Harrer S, et. al.  Artificial Intelligence for Clinical Trial DesignTrends in Pharmacological Sciences 40.8 (2019): 577-591.

    Chen N, Carlin BP, & Hobbs BP.  Web-based statistical tools for the analysis and design of clinical trials that incorporate historical controlsComputational Statistics & Data Analysis 127 (2018): 50-68.

    Mosciki RA & Tandor PK.  Drug-Development Challenges for Small Biopharmaceutical Companies. The New England Journal of Medicine 376 (2017): 469-474.

    Kane MJ, et al.  Scatter Matrix Concordance as a Diagnostic for Regressions on Subsets of DataStatistical Analysis and Data Mining 9.4 (2016): 249-259.

    Tsimberidou AM & Kurzrock R.  Precision medicine: lessons learned from the SHIVA trial.  The Lancet Oncology 16.16 (2015): PE579-E580.

    Scalable Strategies for Computing with Massive Data.  COMING SOON…




    Biomarker Driven Studies

    Statistical methods for establishing optimal treatment rules for matching patients to therapy.
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    Seamless Trial Designs

    Designs to consolidate the phases of drug development through rapid cohort expansion.
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    Master Protocols

    Designs to simultaneously evaluating multiple drugs and/or disease populations in multiple substudies, allowing for efficient and accelerated drug development.
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