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.
save
₹5,167.00Adaptive Design Theory and Implementation Using SAS and R
The book focuses on simple two-stage adaptive designs with sample size re-estimation before moving on to explore more challenging designs and issues that include drop-loser, adaptive dose-funding, biomarker-adaptive, multiple-endpoint adaptive, response-adaptive 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.
₹2,783.00₹7,950.00
Out of stock
Weight | 1 kg |
---|---|
Dimensions | 24 × 15 × 3 cm |
Book Author | Mark Chang |
Edition | 1st |
Format | Hardback |
ISBN | 9781584889625 |
Language | English |
Pages | 440 |
Publication Year | |
Publisher |
Customer Reviews
There are no reviews yet.
Be the first to review “Adaptive Design Theory and Implementation Using SAS and R”