Описание: This book provides a practical introduction to unconditional approaches to planning randomised clinical trials, particularly aimed at drug development in the pharmaceutical industry. This book is aimed at providing guidance to practitioners in using average power, assurance and related concepts.
Описание: Suitable for an audience having a solid grounding in probability and statistics at the level of the year-long undergraduate course taken by statistics and mathematics majors, this book presents the necessary background on Decision Theory and the frequentist and Bayesian approaches to estimation.
Автор: Jon Wakefield Название: Bayesian and Frequentist Regression Methods ISBN: 1493938622 ISBN-13(EAN): 9781493938629 Издательство: Springer Рейтинг: Цена: 10480.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a balanced, modern introduction to Bayesian and frequentist methods for regression analysis. The author discusses Frequentist and Bayesian Inferences; Linear Models; Binary Data Models; General Regression Models and Survival Models.
Автор: Wakefield Название: Bayesian and Frequentist Regression Methods ISBN: 1441909249 ISBN-13(EAN): 9781441909244 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Bayesian and Frequentist Regression Methods provides a modern account of both Bayesian and frequentist methods of regression analysis.
Автор: Berger, James ; Meng, Xiao-Li ; Reid, Nancy ; Xie, Название: Handbook of Bayesian, Fiducial, and Frequentist Inference ISBN: 036732198X ISBN-13(EAN): 9780367321987 Издательство: Taylor&Francis Рейтинг: Цена: 23734.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Xu, Jun Название: Modern applied regressions ISBN: 0367173875 ISBN-13(EAN): 9780367173876 Издательство: Taylor&Francis Рейтинг: Цена: 13779.00 р. Наличие на складе: Нет в наличии.
Описание: Modern Applied Regressions creates an intricate mural with mosaics of categorical and limited response variable (CLRV) models using both Bayesian and Frequentist approaches. Written for graduate students, junior researchers, and quantitative analysts in behavioral, health, and social sciences.
Автор: Inchausti, Pablo (professor Of Ecology, Professor Of Ecology, Universidad De La Republica, Centro Universitario Regional Del Este, Uruguay) Название: Statistical modelling with r a dual freq ISBN: 0192859021 ISBN-13(EAN): 9780192859020 Издательство: Oxford Academ Рейтинг: Цена: 6018.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An accessible textbook that explains, discusses, and applies both the frequentist and Bayesian theoretical frameworks to fit the different types of statistical models that allow an analysis of the types of data most commonly gathered by life scientists.
Автор: Russo Название: Statistics for the Behavioural Sciences ISBN: 1138711489 ISBN-13(EAN): 9781138711488 Издательство: Taylor&Francis Рейтинг: Цена: 22202.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This accessible textbook is for those without a mathematical background (just some notions of basic algebra are sufficient) and provides a comprehensive introduction to all topics covered in introductory behavioural science statistics courses.
Автор: Inchausti, Pablo (Professor of Ecology, Professor of Ecology, Universidad de la Republica, Centro Universitario Regional del Este, Uruguay) Название: Statistical Modeling With R ISBN: 0192859013 ISBN-13(EAN): 9780192859013 Издательство: Oxford Academ Рейтинг: Цена: 12540.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: An accessible textbook that explains, discusses, and applies both the frequentist and Bayesian theoretical frameworks to fit the different types of statistical models that allow an analysis of the types of data most commonly gathered by life scientists.
Автор: Russo Название: Statistics for the Behavioural Sciences ISBN: 1138711500 ISBN-13(EAN): 9781138711501 Издательство: Taylor&Francis Рейтинг: Цена: 5817.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This accessible textbook is for those without a mathematical background (just some notions of basic algebra are sufficient) and provides a comprehensive introduction to all topics covered in introductory behavioural science statistics courses.
Автор: Yuan, Ying Название: Bayesian Designs for Phase I-II Clinical Trials ISBN: 1032242647 ISBN-13(EAN): 9781032242644 Издательство: Taylor&Francis Рейтинг: Цена: 6583.00 р. Наличие на складе: Нет в наличии.
Описание: Get the tools you need to use SAS(R) 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.
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