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By: (Author) Mark Chang
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Delivery in 34 days
Taking a learning-by-doing approach, this tutorial-style book helps newcomers quickly and easily grasp the essence of adaptive designs as well as the foundations of adaptive design methods. It reduces the mathematics to a minimum and makes the material as practical as possible. The author includes R functions that enable readers to better understand the algorithms and customize the designs to meet their needs. For those with no R experience, an appendix provides a 30-minute R tutorial.
All the Essentials to Start Using Adaptive Designs in No Time
Compared to traditional clinical trial designs, adaptive designs often lead to increased success rates in drug development at reduced costs and time. Introductory Adaptive Trial Designs: A Practical Guide with R motivates newcomers to quickly and easily grasp the essence of adaptive designs as well as the foundations of adaptive design methods.
The book reduces the mathematics to a minimum and makes the material as practical as possible. Instead of providing general, black-box commercial software packages, the author includes open-source R functions that enable readers to better understand the algorithms and customize the designs to meet their needs. Readers can run the simulations for all the examples and change the input parameters to see how each input parameter affects the simulation outcomes or design operating characteristics.
Taking a learning-by-doing approach, this tutorial-style book guides readers on planning and executing various types of adaptive designs. It helps them develop the skills to begin using the designs immediately.
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