Skip to main content
  • Book
  • © 2019

Clinical Research Transformed

  • This book presents the transformations that now are needed in patient-oriented clinical research for it to provide for genuinely scientific clinical medicine
  • The authors of this book have, collectively, first-rate expertise in all of the relevant areas of scholarship
  • The precepts in this book converge to the authors’ vision of suitably-transformed clinical research on a global scale

Buy it now

Buying options

eBook USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

This is a preview of subscription content, log in via an institution to check for access.

Table of contents (25 chapters)

  1. Front Matter

    Pages i-xxiv
  2. Part I

    1. Front Matter

      Pages 1-1
    2. The Essence of Clinical Medicine

      • Olli S. Miettinen, Johann Steurer, Albert Hofman
      Pages 3-8
    3. The Essence of Clinical Research

      • Olli S. Miettinen, Johann Steurer, Albert Hofman
      Pages 9-14
    4. Clinical Research and Clinical Medicine at Present

      • Olli S. Miettinen, Johann Steurer, Albert Hofman
      Pages 15-29
    5. Clinical Research Transformative of Clinical Medicine

      • Olli S. Miettinen, Johann Steurer, Albert Hofman
      Pages 31-36
  3. Part II

    1. Front Matter

      Pages 37-37
    2. Core Concepts of Epidemiology and Epidemiological Research

      • Olli S. Miettinen, Johann Steurer, Albert Hofman
      Pages 39-49
    3. The Epidemiological Interface of Gnostic Clinical Research

      • Olli S. Miettinen, Johann Steurer, Albert Hofman
      Pages 51-57
  4. Part III

    1. Front Matter

      Pages 59-59
    2. The Logistic Regression Model

      • Olli S. Miettinen, Johann Steurer, Albert Hofman
      Pages 61-70
    3. Statistics from the Model’s Fitting to Gnostic Data

      • Olli S. Miettinen, Johann Steurer, Albert Hofman
      Pages 71-74
  5. Part IV

    1. Front Matter

      Pages 75-75
    2. The Types of Diagnostic Challenge and Needs for Knowledge

      • Olli S. Miettinen, Johann Steurer, Albert Hofman
      Pages 77-80
    3. Harvesting Experts’ Diagnostic Probability Estimates

      • Olli S. Miettinen, Johann Steurer, Albert Hofman
      Pages 81-88
    4. Objects Design for a Diagnostic Probability Study

      • Olli S. Miettinen, Johann Steurer, Albert Hofman
      Pages 89-98
    5. Methods Design for a Diagnostic Probability Study

      • Olli S. Miettinen, Johann Steurer, Albert Hofman
      Pages 99-108
    6. The Bayes’ Theorem Framework for Diagnostic Research

      • Olli S. Miettinen, Johann Steurer, Albert Hofman
      Pages 109-114
    7. Research Focused on Diagnostic Tests

      • Olli S. Miettinen, Johann Steurer, Albert Hofman
      Pages 115-123
  6. Part V

    1. Front Matter

      Pages 125-125

About this book

In this Information Age, the practices of clinical medicine should no longer be based on what clinical doctors actively know. Rather, all of the importantly practice-relevant knowledge should not only already exist but also be codified in cyberspace, in directly practice-guiding 'expert systems' -- for the benefit of both doctors and patients everywhere. 

Each of these systems (discipline-specific) would, prompted by a particular type of case presentation, present the doctor a questionnaire specific to cases of the type at issue, and document the doctor's answers to the questions. If at issue would be a case of complaint about a (particular type of) sickness, the system would translate the resulting diagnostic profile of the case into the corresponding probabilities of the illnesses to be considered. Similarly, if at issue would be an already-diagnosed case of a particular illness, the system would ask about, and record, the relevant elements in the prognostic profile of the case and then translate this profile into the probabilities of various outcomes to be considered, probabilities specific to the choice of treatment and prospective time in addition to that profile. And besides, these systems would analogously address the causal origin -- etiogenesis -- of cases of particular types of illness. 

While the requisite knowledge-base for these systems -- notably for the probabilities in them -- has not been addressed by such 'patient-oriented' clinical research as has been conducted (very extensively) up to now, this book delineates the nature of the suitably-transformed research (gnostic). The critically-transformative innovation in the research is the studies' focus on Gnostic Probability Functions -- dia-, etio-, and prognostic -- in the framework of logistic regression models. 

This book also presents a vision of how this critically-transformative research would most expeditiously be provided for and also conducted, among select sets of academic teaching hospitals.

Authors and Affiliations

  • Faculty of Medicine, McGill University, Montreal, QC, Canada, Department of Medicine, Weill Cornell Medical College, New York, USA

    Olli S. Miettinen

  • Horten Center for Patient-oriented Research and Knowledge Transfer, University of Zürich, Zürich, Switzerland

    Johann Steurer

  • Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, USA

    Albert Hofman

About the authors

Olli Miettinen was born in Piikkiö, Finland on 31 July 1936. He obtained his MD from the University of Helsinki and the MPH and PhD degrees from the University of Minnesota. He was Professor of Epidemiology and Biostatistics at Harvard School of Public Health from 1974 to 1986, and has been a Professor in the Department of Epidemiology, Biostatistics, and Occupational Health and in the Department of Medicine of the Faculty of Medicine at McGill University since 1985. He is the author of 3 textbooks and a veteran of extensive teaching internationally.

Albert Hofman, is the Stephen B. Kay Family Professor of Public Health and Clinical Epidemiology and Chair, Department of Epidemiology at the Harvard T.H. Chan School of Public Health. 

Dr. Hofman received an MD in 1976 from the University of Groningen, and a PhD in 1983 from the Erasmus University Rotterdam. He was appointed in 1981 as an Assistant Professor at the Erasmus University Medical School and was promoted to Associate Professor in 1984. Since 1988 he has been full Professor and Chair in the Department of Epidemiology at the Erasmus Medical Center. In addition, Dr. Hofman has been a Science Director at the Netherlands Institute for Health Sciences since 1992, as well as an adjunct Professor of Epidemiology at our School since 1998, and a Visiting Professor of Clinical Epidemiology since January 2016. Dr. Hofman has an excellent record of teaching, including being the initiator and program director of the Erasmus Summer Program since 1991, and teaching the summer session courses on Fundamentals of Epidemiology and on Study Design in Clinical Epidemiology at Harvard.

 

Johann Steurer is the Director of the Horten Centre for patient oriented research and knowledge transfer. University of Zürich.



Bibliographic Information

Buy it now

Buying options

eBook USD 149.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book USD 199.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access