Translational Medicine: Strategies and Statistical Methods, 1st Edition (Paperback) book cover

Translational Medicine

Strategies and Statistical Methods, 1st Edition

Edited by Dennis Cosmatos, Shein-Chung Chow

Chapman and Hall/CRC

224 pages

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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. Strategic Concepts in Translational Medicine. Design and Analysis Approaches for Discovery Translational Medicine. Biomarker Development. Targeted Clinical Trials. Statistical Methods in Translational Medicine. NonparametricMethods in Translational Research. Model Selection/Validation. Translation in Clinical Information between Populations—Bridging Studies. Translation in Clinical Technology—Traditional Chinese Medicine. Index.

About the Editors

Dennis Cosmatos, Shein-Chung Chow

Subject Categories

BISAC Subject Codes/Headings:
MATHEMATICS / Probability & Statistics / General
MEDICAL / Pharmacology