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Quantitative Methods in Pharmaceutical Research and Development

Concepts and Applications

  • Book
  • © 2020

Overview

Editors:
  1. Olga V. Marchenko

    1. Statistics and Data Insights Department, Bayer, Whippany, USA

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    You can also search for this editor in PubMed   Google Scholar

  2. Natallia V. Katenka

    1. Department of Computer Science and Statistics, University of Rhode Island, Kingston, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Offers readers an overview of concepts, methods, and applications used in several quantitative areas of drug research, development, and marketing
  • Unites various disciplines within the pharmaceutical industry, allowing readers to learn more about these quantitative fields, and to better recognize the differences between them
  • Promotes a more thorough and practical understanding of the fields open to students interested in quantitative methods

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Table of contents (9 chapters)

  1. Front Matter

    Pages i-ix
    Download chapter PDF

  2. Biostatistics in Clinical Trials

    • Olga V. Marchenko, Lisa M. LaVange, Natallia V. Katenka
    Pages 1-70

  3. Pharmacometrics: A Quantitative Decision-Making Tool in Drug Development

    • Yan Xu, Holly Kimko
    Pages 71-104

  4. Genomics and Bioinformatics in Biological Discovery and Pharmaceutical Development

    • Wendell Jones
    Pages 105-142

  5. Biostatistical Methods in Pharmacoepidemiology

    • Ana Filipa Macedo, Ana Maria Rodriguez, William Hawkes, Alban Fabre
    Pages 143-179

  6. Causal Inference in Pharmacoepidemiology

    • Ashley Buchanan, Tianyu Sun, Natallia V. Katenka
    Pages 181-224

  7. Statistical Data Mining of Clinical Data

    • Ilya Lipkovich, Bohdana Ratitch, Cristina Ivanescu
    Pages 225-315

  8. Segmentation and Choice Models

    • Steven Blahut, Jeff Niemira
    Pages 317-359

  9. Modern Analytic Techniques for Predictive Modeling of Clinical Trial Operations

    • Vladimir V. Anisimov
    Pages 361-408

  10. Better Together: Examples of Biostatisticians Collaborating in Drug Development

    • Russell Reeve, Seth Berry, Brandon Swift
    Pages 409-445
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Keywords

About this book

This contributed volume presents an overview of concepts, methods, and applications used in several quantitative areas of drug research, development, and marketing. Chapters bring together the theories and applications of various disciplines, allowing readers to learn more about quantitative fields, and to better recognize the differences between them. Because it provides a thorough overview, this will serve as a self-contained resource for readers interested in the pharmaceutical industry, and the quantitative methods that serve as its foundation. Specific disciplines covered include:
  • Biostatistics
  • Pharmacometrics
  • Genomics
  • Bioinformatics
  • Pharmacoepidemiology
  • Commercial analytics
  • Operational analytics

Quantitative Methods in Pharmaceutical Research and Development is ideal for undergraduate students interested in learning about real-world applications of quantitative methods, and the potential career options open to them. It will also be of interest to experts working in these areas.

Editors and Affiliations

  • Statistics and Data Insights Department, Bayer, Whippany, USA

    Olga V. Marchenko

  • Department of Computer Science and Statistics, University of Rhode Island, Kingston, USA

    Natallia V. Katenka

About the editors

Olga V. Marchenko is a Head of Clinical Statistics in Pulmonology, Anti-Infectives, Ophthalmology, and Women’s Health at Bayer. Prior to joining Bayer, Dr. Marchenko was Vice President and Head of Advisory Analytics at QuintilesIMS. Dr. Marchenko received her Ph.D. in Statistics from the University of Michigan, Ann Arbor. She is an Associate Editor of the Journal of Biopharmaceutical Statistics and a Fellow of the American Statistical Association. 


Natallia V. Katenka is an Associate Professor in the Department of Computer Science and Statistics in the College of Arts and Sciences at the University of Rhode Island. A Ph.D. graduate from the University of Michigan, she is an expert in the statistical analysis of longitudinal, multivariate, and network data.  Her research interests fall within the studies of HIV/AIDS networks, opioid use disorder, studies including educational networks, and networks in cybersecurity.

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