Modern Approaches to Clinical Trials Using SAS: Classical, Adaptive, and Bayesian Methods

Nonfiction, Science & Nature, Mathematics, Statistics, Computers, Application Software
Cover of the book Modern Approaches to Clinical Trials Using SAS: Classical, Adaptive, and Bayesian Methods by , SAS Institute
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9781629600826
Publisher: SAS Institute Publication: December 9, 2015
Imprint: SAS Institute Language: English
Author:
ISBN: 9781629600826
Publisher: SAS Institute
Publication: December 9, 2015
Imprint: SAS Institute
Language: English

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, the book 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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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, the book 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.

More books from SAS Institute

Cover of the book SAS Programming in the Pharmaceutical Industry, Second Edition by
Cover of the book JMP for Basic Univariate and Multivariate Statistics by
Cover of the book Practical and Efficient SAS Programming by
Cover of the book Building Business Intelligence Using SAS by
Cover of the book An Introduction to SAS Visual Analytics by
Cover of the book SAS Programming with Medicare Administrative Data by
Cover of the book Segmentation and Lifetime Value Models Using SAS by
Cover of the book Business Analytics Using SAS Enterprise Guide and SAS Enterprise Miner by
Cover of the book SAS Viya by
Cover of the book How to Become a Top SAS Programmer by
Cover of the book Getting Started with the Graph Template Language in SAS by
Cover of the book SAS Macro Programming Made Easy, Third Edition by
Cover of the book Essential Statistics Using SAS University Edition by
Cover of the book Exploratory Factor Analysis with SAS by
Cover of the book Exchanging Data between SAS and Microsoft Excel by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy