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 Design.  Trends 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 controls.  Computational 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 Data.  Statistical 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…