Literature DB >> 20944562

Probabilistic risk analysis: improving early drug development decision making.

P N Mudd1, H Groenendaal, M A Bush, V D Schmith.   

Abstract

Model-based drug development (MBDD) is advocated by industry, academia, and regulatory agencies as a powerful tool to improve the efficiency of drug development. Clinical pharmacologists play key roles in implementing MBDD because of their ability to integrate mechanistic, preclinical, and clinical information, using quantitative approaches to address the complex questions arising during drug development. Use of probabilistic risk analysis (PRA) approaches (e.g., value of information, combining uncertain information, and modeling expert opinion) can improve the implementation of MBDD.

Mesh:

Year:  2010        PMID: 20944562     DOI: 10.1038/clpt.2010.231

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  3 in total

Review 1.  Integration of PKPD relationships into benefit-risk analysis.

Authors:  Francesco Bellanti; Rob C van Wijk; Meindert Danhof; Oscar Della Pasqua
Journal:  Br J Clin Pharmacol       Date:  2015-07-29       Impact factor: 4.335

Review 2.  Inroads to predict in vivo toxicology-an introduction to the eTOX Project.

Authors:  Katharine Briggs; Montserrat Cases; David J Heard; Manuel Pastor; François Pognan; Ferran Sanz; Christof H Schwab; Thomas Steger-Hartmann; Andreas Sutter; David K Watson; Jörg D Wichard
Journal:  Int J Mol Sci       Date:  2012-03-21       Impact factor: 6.208

3.  Quantifying the probability of pharmacological success to inform compound progression decisions.

Authors:  Xuan Zhou; Ole Graff; Chao Chen
Journal:  PLoS One       Date:  2020-10-12       Impact factor: 3.240

  3 in total

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