Description: Modern Approaches to Clinical Trials Using SAS : Classical, Adaptive, and Bayesian Methods, Paperback by Menon, Sandeep M. (EDT); Zink, Richard C. (EDT), ISBN 1629593850, ISBN-13 9781629593852, Like New Used, Free shipping in the US Get the tools you need to use SAS in clinical trial design! Unique and multifaceted, Modern Approaches to Clinical Trials Using SAS: Classical, Adaptive, and Bayesian Methods, edited by Sandeep M. Menon and Richard C. Zink, thoroughly covers several domains of modern clinical trial design: classical, group sequential, adaptive, and Bayesian methods that are applicable to and widely used in various phases of pharmaceutical development. Written for biostatisticians, pharmacometricians, clinical developers, and statistical programmers involved in the design, analysis, and interpretation of clinical trials, as well as students in graduate and postgraduate programs in statistics or biostatistics, th touches on a wide variety of topics, including dose-response and dose-escalation designs; sequential methods to stop trials early for overwhelming efficacy, safety, or futility; Bayesian designs that incorporate historical data; adaptive sample size re-estimation; adaptive randomization to allocate subjects to more effective treatments; and population enrichment designs. Methods are illustrated using clinical trials from diverse therapeutic areas, including dermatology, endocrinology, infectious disease, neurology, oncology, and rheumatology. Individual chapters are authored by renowned contributors, experts, and key opinion leaders from the pharmaceutical/medical device industry or academia. Numerous real-world examples and sample SAS code enable users to readily apply novel clinical trial design and analysis methodologies in practice.
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Book Title: Modern Approaches to Clinical Trials Using SAS : Classical, Adapt
Number of Pages: 364 Pages
Language: English
Publication Name: Modern Approaches to Clinical Trials Using Sas: Classical, Adaptive, and Bayesian Methods
Publisher: SAS Institute
Publication Year: 2015
Subject: Programming Languages / General, Clinical Medicine, Mathematical & Statistical Software, Probability & Statistics / General, Probability & Statistics / Bayesian Analysis
Type: Textbook
Author: Richard C. Zink
Subject Area: Mathematics, Computers, Medical
Format: Book, Other
