Translational Medicine: Strategies and Statistical Methods / Edition 1 available in Hardcover
- Pub. Date:
- Taylor & Francis
Examines Critical Decisions for Transitioning Lab Science to a Clinical Setting
The development of therapeutic pharmaceutical compounds is becoming more expensive, and the success rates for getting such treatments approved for marketing and to the patients is decreasing. As a result, translational medicine (TM) is becoming increasingly important in the healthcare industry – a means of maximizing the consideration and use of information collected as compounds transition from initial lab discovery, through pre-clinical testing, early clinical trials, and late confirmatory studies that lead to regulatory approval of drug release to patients.
Translational Medicine: Strategies and Statistical Methods suggests a process for transitioning from the initial lab discovery to the patient’s bedside with minimal disconnect and offers a comprehensive review of statistical design and methodology commonly employed in this bench-to-bedside research.
Documents Alternative Research Approaches for Faster and More Accurate Data Judgment Calls
Elaborating on how to introduce TM into clinical studies, this authoritative work presents a keen approach to building, executing, and validating statistical models that consider data from various phases of development. It also delineates a truly translational example to help bolster understanding of discussed concepts.
This comprehensive guide effectively demonstrates how to overcome obstacles related to successful TM practice. It contains invaluable information for pharmaceutical scientists, research executives, clinicians, and biostatisticians looking to expedite successful implementation of this important process.
Table of Contents
Translational Medicine: Strategies and Statistical Methods, D. Cosmatos and S.-C. Chow
Strategic Concepts in Translational Medicine, D. Cosmatos and G. Feuerstein
Design and Analysis Approaches for Discovery Translational Medicine, D. Cosmatos, S.-C. Chow, S.B. Forlow, J.A. Isler, Z. Lin, and M.E. Burczynski, with a special statistical appendix by J.Q. Xia and S.S. Young
Biomarker Development, M. Chang
Targeted Clinical Trials, J. Liu
Statistical Methods in Translational Medicine, S.-C. Chow, S.-K. Tse, and D. Cosmatos
NonparametricMethods in Translational Research, K. Wang and S.-C. Chow
Model Selection/Validation, J. Liu
Translation in Clinical Information between PopulationsBridging Studies, C.-F. Hsiao, M. Wang, H.-D. Chen, and J. Liu
Translation in Clinical TechnologyTraditional Chinese Medicine, C.-F. Hsiao, H.-H. Tsou, and S.-C. Chow
What People are Saying About This
This is one of the few books published on the strategies for TM. The chapters are carefully coordinated and can be read on their own; they are independent but are still well coordinated. The book contains a good outline of the different aspects of TM and contains a series of good examples. … this book will provide interesting reading for readers from a variety of backgrounds. Overall, this book contains a good foundation for anyone working in this area.
—Richardus Vonk, Pharmaceutical Statistics, 2012