Non-Linear Phenomena and Drug Product Development

  • Anthony J. Hickey
  • Hugh D.C. Smyth

Part of the Outlines in Pharmaceutical Sciences book series (OIPS, volume 1)

Table of contents

  1. Front Matter
    Pages i-viii
  2. Anthony J. Hickey, Hugh D. C. Smyth
    Pages 1-4
  3. Anthony J. Hickey, Hugh D. C. Smyth
    Pages 5-18
  4. Anthony J. Hickey, Hugh D. C. Smyth
    Pages 37-45
  5. Anthony J. Hickey, Hugh D. C. Smyth
    Pages 47-54
  6. Anthony J. Hickey, Hugh D. C. Smyth
    Pages 55-59
  7. Anthony J. Hickey, Hugh D. C. Smyth
    Pages 61-66
  8. Back Matter
    Pages 67-71

About this book


The historical approach to the interpretation of physical, chemical and biological phenomena has been to consider relationships with causative factors that can be reduced to linearity allowing simple and direct interpretation. However, it is increasingly evident that there is often more information in the data than linear interpretations allow. The current capacity for computers to assist in identifying non-linear relationships allows greater interpretation of data which illuminates the phenomena allowing the information to be translated into knowledge that can be used wisely to promote various desirable pharmaceutical outcomes. This short volume is intended to stimulate the reader to contemplate research and development areas in which the data might be more accurately interpreted to allow greater understanding and ultimately control of the pharmaceutically complex phenomena.


Complexity Development Drug Hickey Pharmaco Phenomena Product Smyth

Authors and affiliations

  • Anthony J. Hickey
    • 1
  • Hugh D.C. Smyth
    • 2
  1. 1.Eshelman School of Pharmacy, Division of Molecular PharmaceuticsUniversity of North CarolinaChapel HillUSA
  2. 2., Pharmaceutics Division - PHR 4.214University of TexasAustinUSA

Bibliographic information

  • DOI
  • Copyright Information American Association of Pharmaceutical Sientists 2011
  • Publisher Name Springer, Boston, MA
  • eBook Packages Biomedical and Life Sciences
  • Print ISBN 978-1-4419-7855-4
  • Online ISBN 978-1-4419-7856-1
  • Series Print ISSN 2191-3188
  • Series Online ISSN 2191-3196
  • Buy this book on publisher's site