Translational Medicine: Strategies and Statistical Methods
Dennis Cosmatos, Shein-Chung Chow “Translational Medicine: Stgies and Statistical Methods”
Chapman & Hall/CRC 2008-12-17 ISBN: 1584888725 252 pages PDF 2,4 MB
Examines Critical Decisions for Transitioning Lab Science to a Clinical Setting
The development of therapeutic pharmaceutical compounds is becoming more expensive, and the success s 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: Stgies 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 Accu 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 demonsts how to overcome obstacles 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.
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