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Editorial
. 2020 Apr;107(4):683-686.
doi: 10.1002/cpt.1803.

Data Science in Clinical Pharmacology and Drug Development for Improving Health Outcomes in Patients

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Editorial

Data Science in Clinical Pharmacology and Drug Development for Improving Health Outcomes in Patients

Richard W Peck et al. Clin Pharmacol Ther. .

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References

    1. Adhikari, A. & DeNero, J. The Foundations of Data Science (UC Berkeley, Berkeley, CA, 2018) <https://www.inferentialthinking.com/chapters/intro.html>.
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    1. Shah, P. et al. Artificial intelligence and machine learning in clinical development: a translational perspective. npj Digital Med 2, 69 (2019).
    1. US Food and Drug Administration. Guidance for industry and Food and Drug Administration staff: use of real-world evidence to support regulatory decision-making for medical devices <https://www.fda.gov/downloads/medicaldevices/deviceregulationandguidance/guidancedocuments/ucm513027.pdf> (2017). Accessed August 31, 2019.
    1. Bartlett, V.L., Dhruva, S.S., Shah, N.D., Ryan, P. & Ross, J.S. Feasibility of using real-world data to replicate clinical trial evidence. JAMA Netw Open 2, e1912869 (2019).

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