Model-Assisted Bayesian Designs for Dose Finding and Optimization: Methods and Applications

This book shows how model-assisted designs can greatly improve the efficiency and simplify the conduct of early-phase dose finding and optimization trials. It should therefore be a very useful practical reference for biostatisticians, clinicians working in clinical trials, and drug regulatory professionals, as well as grad students. Read More

This book shows how model-assisted designs can greatly improve the efficiency and simplify the conduct of early-phase dose finding and optimization trials. It should therefore be a very useful practical reference for biostatisticians, clinicians working in clinical trials, and drug regulatory professionals, as well as grad students. Read Less

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  	This is a digital edition of this title. Rent eBook (2 Options) 180 Day Rental: $38.50 (Expires Dec 08, 2025) 365 Day Rental: $45.50 (Expires Jun 11, 2026) Buy eBook Lifetime Access: $69.99 Title: Model-Assisted Bayesian Designs for Dose Finding and Optimization by Ying Yuan; Ruitao Lin; J. Jack Lee Publisher: Taylor & Francis Print ISBN: 9780367146245, 036714624X eText ISBN: 9780429626838 Edition: 2022 1st edition Format: EPUB eBook	$38.50 Rent eBook This is a digital eBook Nothing will be shipped to you Works with web browsers and the VitalSource app on all Windows, Mac, Chromebook, Kindle Fire, iOS, and Android devices Most eBooks are returnable within 14 days of purchase Questions? See our eBook FAQ