Literature DB >> 20613721

Statisticians and pharmacokineticists: what they can still learn from each other.

S Senn1.   

Abstract

Examples are given of how the practice of statistics could be improved if statisticians showed a greater awareness of pharmacokinetic and pharmacodynamic modeling. Some examples are also given where a wider appreciation of statistical theory would improve current approaches to pharmacometrics. Areas in which the two disciplines are in agreement but have failed to have as much influence on others in drug development as they ought are also considered. It is concluded that there would be much benefit in increasing collaboration between these disciplines.

Mesh:

Year:  2010        PMID: 20613721     DOI: 10.1038/clpt.2010.128

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


  5 in total

Review 1.  Interpreting population pharmacokinetic-pharmacodynamic analyses - a clinical viewpoint.

Authors:  Stephen B Duffull; Daniel F B Wright; Helen R Winter
Journal:  Br J Clin Pharmacol       Date:  2011-06       Impact factor: 4.335

2.  Pharmacokinetic similarity of biologics: analysis using nonlinear mixed-effects modeling.

Authors:  A Dubois; S Gsteiger; S Balser; E Pigeolet; J L Steimer; G Pillai; F Mentré
Journal:  Clin Pharmacol Ther       Date:  2011-12-28       Impact factor: 6.875

3.  Best practices in population modeling should always be evolving.

Authors:  M O Karlsson; F Mentré
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2013-07-03

4.  Lewis Sheiner ISoP/UCSF Lecturer Award: From Drug Use to Statistical Models and Vice Versa.

Authors:  F Mentré
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2014-12-29

5.  Pharmacometrics meets statistics-A synergy for modern drug development.

Authors:  Yevgen Ryeznik; Oleksandr Sverdlov; Elin M Svensson; Grace Montepiedra; Andrew C Hooker; Weng Kee Wong
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2021-08-19
  5 in total

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