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Sundqvist M, Lundahl A, Någård MB, et al. Quantifying and Communicating Uncertainty in Preclinical Human Dose-Prediction. CPT Pharmacometrics Syst Pharmacol. 2015;4(4):243-54doi: 10.1002/psp4.32.
Sundqvist, M., Lundahl, A., Någård, M. B., Bredberg, U., & Gennemark, P. (2015). Quantifying and Communicating Uncertainty in Preclinical Human Dose-Prediction. CPT: pharmacometrics & systems pharmacology, 4(4), 243-54. https://doi.org/10.1002/psp4.32
Sundqvist, M, et al. "Quantifying and Communicating Uncertainty in Preclinical Human Dose-Prediction." CPT: pharmacometrics & systems pharmacology vol. 4,4 (2015): 243-54. doi: https://doi.org/10.1002/psp4.32
Sundqvist M, Lundahl A, Någård MB, Bredberg U, Gennemark P. Quantifying and Communicating Uncertainty in Preclinical Human Dose-Prediction. CPT Pharmacometrics Syst Pharmacol. 2015 Apr;4(4):243-54. doi: 10.1002/psp4.32. Epub 2015 Apr 16. PMID: 26225248; PMCID: PMC4429578.
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CPT Pharmacometrics Syst Pharmacol. 2015 Apr;4(4):243-54. doi: 10.1002/psp4.32. Epub 2015 Apr 16.

Quantifying and Communicating Uncertainty in Preclinical Human Dose-Prediction.

CPT: pharmacometrics & systems pharmacology

M Sundqvist, A Lundahl, M B Någård, U Bredberg, P Gennemark

Affiliations

  1. CVMD iMed DMPK, AstraZeneca R&D SE-431, 83, Mölndal, Sweden.

PMID: 26225248 PMCID: PMC4429578 DOI: 10.1002/psp4.32

Abstract

Human dose-prediction is fundamental for ranking lead-optimization compounds in drug discovery and to inform design of early clinical trials. This tutorial describes how uncertainty in such predictions can be quantified and efficiently communicated to facilitate decision-making. Using three drug-discovery case studies, we show how several uncertain pieces of input information can be integrated into one single uncomplicated plot with key predictions, including their uncertainties, for many compounds or for many scenarios, or both.

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