9781461461135-1461461138-Sequential Experimentation in Clinical Trials: Design and Analysis (Springer Series in Statistics)

Sequential Experimentation in Clinical Trials: Design and Analysis (Springer Series in Statistics)

ISBN-13: 9781461461135
ISBN-10: 1461461138
Edition: 2013
Author: Bartroff, Jay, Lai, Tze Leung, Shih, Mei-Chiung
Publication date: 2012
Publisher: Springer
Format: Hardcover 240 pages
FREE shipping on ALL orders

Book details

ISBN-13: 9781461461135
ISBN-10: 1461461138
Edition: 2013
Author: Bartroff, Jay, Lai, Tze Leung, Shih, Mei-Chiung
Publication date: 2012
Publisher: Springer
Format: Hardcover 240 pages

Summary

Acknowledged authors Bartroff, Jay, Lai, Tze Leung, Shih, Mei-Chiung wrote Sequential Experimentation in Clinical Trials: Design and Analysis (Springer Series in Statistics) comprising 240 pages back in 2012. Textbook and eTextbook are published under ISBN 1461461138 and 9781461461135. Since then Sequential Experimentation in Clinical Trials: Design and Analysis (Springer Series in Statistics) textbook was available to sell back to BooksRun online for the top buyback price or rent at the marketplace.

Description

Sequential Experimentation in Clinical Trials: Design and Analysis is developed from decades of work in research groups, statistical pedagogy, and workshop participation. Different parts of the book can be used for short courses on clinical trials, translational medical research, and sequential experimentation. The authors have successfully used the book to teach innovative clinical trial designs and statistical methods for Statistics Ph.D. students at Stanford University. There are additional online supplements for the book that include chapter-specific exercises and information.

Sequential Experimentation in Clinical Trials: Design and Analysis covers the much broader subject of sequential experimentation that includes group sequential and adaptive designs of Phase II and III clinical trials, which have attracted much attention in the past three decades. In particular, the broad scope of design and analysis problems in sequential experimentation clearly requires a wide range of statistical methods and models from nonlinear regression analysis, experimental design, dynamic programming, survival analysis, resampling, and likelihood and Bayesian inference. The background material in these building blocks is summarized in Chapter 2 and Chapter 3 and certain sections in Chapter 6 and Chapter 7. Besides group sequential tests and adaptive designs, the book also introduces sequential change-point detection methods in Chapter 5 in connection with pharmacovigilance and public health surveillance. Together with dynamic programming and approximate dynamic programming in Chapter 3, the book therefore covers all basic topics for a graduate course in sequential analysis designs.

Rate this book Rate this book

We would LOVE it if you could help us and other readers by reviewing the book