Introductory Adaptive Trial Designs: A Practical Guide with R
Autor Mark Changen Limba Engleză Hardback – 8 iun 2015
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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Specificații
ISBN-13: 9781498717465
ISBN-10: 1498717462
Pagini: 232
Ilustrații: 19 black & white illustrations, 55 black & white tables
Dimensiuni: 156 x 234 x 15 mm
Greutate: 1.2 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
ISBN-10: 1498717462
Pagini: 232
Ilustrații: 19 black & white illustrations, 55 black & white tables
Dimensiuni: 156 x 234 x 15 mm
Greutate: 1.2 kg
Ediția:1
Editura: CRC Press
Colecția Chapman and Hall/CRC
Public țintă
Professional Practice & DevelopmentCuprins
Introduction. Classical Design. Two-Stage Adaptive Confirmatory Design Method. K-Stage Adaptive Confirmatory Design Methods. Sample-Size Reestimation Design. Special Two-Stage Group Sequential Trials. Pick-the-Winners Design. The Add-Arms Design. Biomarker-Adaptive Design. Response-Adaptive Randomization. Adaptive Dose-Escalation Trial. Deciding Which Adaptive Design to Use. Monitoring Trial and Making Adaptations. Data Analyses of Adaptive Trials. Planning and Execution. Appendices. Bibliography. Index.
Notă biografică
Mark Chang is vice president of biometrics at AMAG Pharmaceuticals and an adjunct professor at Boston University. Dr. Chang is an elected fellow of the American Statistical Association and a co-founder of the International Society for Biopharmaceutical Statistics. He serves on the editorial boards of statistical journals and has published eight books, including Principles of Scientific Methods, Paradoxes in Scientific Inference, Modern Issues and Methods in Biostatistics, Monte Carlo Simulation for the Pharmaceutical Industry, and Adaptive Design Theory and Implementation Using SAS and R, Second Edition.
Descriere
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.