"Like the well-regarded and bestselling second edition, Sample Size Calculations in Clinical Research, Third Edition, presents statistical procedures for performing sample size calculations during various phases of clinical research and development. This new edition will be upda…
"Like the well-regarded and bestselling second edition, Sample Size Calculations in Clinical Research, Third Edition, presents statistical procedures for performing sample size calculations during various phases of clinical research and development. This new edition will be upda…
All students of pharmaceutical sciences and clinical research need a solid knowledge and understanding of the nature, methods, application, and importance of statistics. Introduction to Statistics in Pharmaceutical Clinical Trials is an ideal introduction to statistics presented…
A self-contained introduction to Statistics, presented in the context of clinical trials and pharmaceutical drug development. This title focuses on the statistical analyses most commonly used in drug development. It emphasises the importance of descriptive statistics as well as …
Discover the Latest Statistical Approaches for Modeling Exposure-Response RelationshipsWritten by an applied statistician with extensive practical experience in drug development, Exposure-Response Modeling: Methods and Practical Implementation explores a wide range of topics in …
The definitive statistics reference for biopharmaceutical research and manufacturing, presenting current standards and best practices for the laboratory, manufacturing, and statistical design, investigation, and analysis.
"This provides comprehensive coverage of Bayesian application across the span of drug development from discovery to clinical trial to manufacturing with practical examples as illustration"--
The cost for bringing new medicine from discovery to market has nearly doubled in the last decade and has now reached $2.6 billion. There is an urgent need to make drug development less time-consuming and less costly. Innovative trial designs/ analyses such as the Bayesian appro…
