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…
