Quantitative Methods in Pharmaceutical Research and Development

Concepts and Applications
1. Auflage 2020
ISBN: 978-3-030-48557-3
Verlag: Springer International Publishing

Buch, Englisch, 445 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 686 g

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.

Zielgruppe

Research

Autoren/Hrsg.

Katenka, Natallia V.

Marchenko, Olga V.

Fachgebiete

• Naturwissenschaften Biowissenschaften Angewandte Biologie Biomathematik
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Mustererkennung, Biometrik
• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Naturwissenschaften Biowissenschaften Angewandte Biologie Bioinformatik

Inhaltsverzeichnis

Biostatistics in Clinical Trials.- Pharmacometrics, A Quantitative Decision-Making Tool in Drug Development.- Genomics and Bioinformatics in Biological Discovery and Pharmaceutical Development.- Biostatistical Methods in Pharmacoepidemiology.- Causal Inference in Pharmacoepidemiology.- Statistical Data Mining of Clinical Data.- Segmentation and Choice Models.- Modern Analytic Techniques for Predictive Modeling of Clinical Trial Operations.- Better Together: Examples of Biostatisticians Collaborating in Drug Development.

Über Autor(innen)

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.