Mark Chang

Introductory Adaptive Trial Designs (eBook, PDF)

A Practical Guide with R

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 232
• Erscheinungstermin: 21. Mai 2015
• Englisch
• ISBN-13: 9781498717472
• Artikelnr.: 57070130

Autorenporträt

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.

Inhaltsangabe

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.