If you have any questions, you are always welcome to contact us. We'll get back to you as soon as possible, withing 24 hours on weekdays.
Customer service
All questions about your order, return and delivery must be sent to our customer service team by e-mail at yourstore@yourdomain.com
Sale & Press
If you are interested in selling our products, need more information about our brand or wish to make a collaboration, please contact us at press@yourdomain.com
Help
If you have any questions, you are always welcome to contact us. We'll get back to you as soon as possible, withing 24 hours on weekdays.
Customer service
All questions about your order, return and delivery must be sent to our customer service team by e-mail at yourstore@yourdomain.com
Sale & Press
If you are interested in selling our products, need more information about our brand or wish to make a collaboration, please contact us at press@yourdomain.com
Adaptive design has become an important tool in modern pharmaceutical research and development. Compared to a classic trial design with static features, an adaptive design allows for the modification of the characteristics of ongoing trials based on cumulative information. Adaptive designs increase the probability of success, reduce costs and the time to market, and promote accurate drug delivery to patients.Reflecting the state of the art in adaptive design approaches, Adaptive Design Theory and Implementation Using SAS and R provides a concise, unified presentation of adaptive design theories, uses SAS and R for the design and simulation of adaptive trials, and illustrates how to master different adaptive designs through realworld examples. The book focuses on simple twostage adaptive designs with sample size reestimation before moving on to explore more challenging designs and issues that include droploser, adaptive dosefunding, biomarkeradaptive, multipleendpoint adaptive, responseadaptive randomization, and Bayesian adaptive designs. In many of the chapters, the author compares methods and provides practical examples of the designs, including those used in oncology, cardiovascular, and inflammation trials.Equipped with the knowledge of adaptive design presented in this book, you will be able to improve the efficiency of your trial design, thereby reducing the time and cost of drug development.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer,
birth defects, or other reproductive harm.
I recently started using this book for my graduate course, and I find it to be super helpful. The explanations of SAS and R applications are thorough, and they really make the concepts easier to grasp. If you're diving into biostatistics, this is a must-have!
L
Liam Johnson
Disappointing Delivery and Condition
I was excited to receive this book, but it arrived with some bent pages and the cover was scuffed. The content seems good, but I'm bummed about the condition. Just a heads up if you’re purchasing as a gift.
A
Ajay Patel
Useful but Dense
This book has a ton of information, but it can feel a little overwhelming at times. The examples using SAS and R are practical, but I wish they had simplified some of the sections. Still, it's a good read if you're serious about learning biostatistics.
M
Maya Fernandez
Solid Reference for Stats Students
As a biostatistics student, I found this book useful for understanding the theory and implementation of SAS and R. The layout is nice, but some chapters felt a bit too technical. Worth having on your shelf for reference.
For MAP (Minimum Advertised Price) violations and Intellectual Property (IP) or Trademark concerns, please contact:
support@ergodebooks.com
⚠️ California Proposition 65 Warning: Some products sold on this website may expose you to chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm. For more information, visit www.P65Warnings.ca.gov.
