Using time-to-event analysis methodology requires careful definition of the event, censored observation, provision of adequate follow-up, number of events, and independence or noninformativeness of the censoring mechanisms relative to the event. Design and Analysis of Clinical Trials with Time-to-Event Endpoints provides a thorough presentation of the design, monitoring, analysis, and interpretation of clinical trials in which time-to-event is of critical interest.
After reviewing time-to-event endpoint methodology, clinical trial issues, and the design and monitoring of clinical trials, the book focuses on inferential analysis methods, including parametric, semiparametric, categorical, and Bayesian methods; an alternative to the Cox model for small samples; and estimation and testing for change in hazard. It then presents descriptive and graphical methods useful in the analysis of time-to-event endpoints. The next several chapters explore a variety of clinical trials, from analgesic, antibiotic, and antiviral trials to cardiovascular and cancer prevention, prostate cancer, astrocytoma brain tumor, and chronic myelogonous leukemia trials. The book then covers areas of drug development, medical practice, and safety assessment. It concludes with the design and analysis of clinical trials of animals required by the FDA for new drug applications.
Drawing on the expert contributors' experiences working in biomedical research and clinical drug development, this comprehensive resource covers an array of time-to-event methods and explores an assortment of real-world applications.
Автор: V?ronique Gayrard; Nicola Kistler Название: Correlated Random Systems: Five Different Methods ISBN: 3319176730 ISBN-13(EAN): 9783319176734 Издательство: Springer Рейтинг: Цена: 41920.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume presents five different methods recently developed to tackle the large scale behavior of highly correlated random systems, such as spin glasses, random polymers, local times and loop soups and random matrices.
Автор: Jamie D. Riggs Название: Handbook for Applied Modeling: Non-Gaussian and Correlated Data ISBN: 1316601056 ISBN-13(EAN): 9781316601051 Издательство: Cambridge Academ Рейтинг: Цена: 40130.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing data that fail idealized assumptions. It explains and demonstrates core techniques, common pitfalls and data issues, and interpretation of model results, all with a focus on application, utility, and real-life data.
Автор: Rauch Название: Planning and Analyzing Clinical Trials with Composite Endpoints ISBN: 3319737694 ISBN-13(EAN): 9783319737690 Издательство: Springer Рейтинг: Цена: 130430.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book addresses the most important aspects of how to plan and evaluate clinical trials with a composite primary endpoint to guarantee a clinically meaningful and valid interpretation of the results.
Автор: Takashi Sozu; Tomoyuki Sugimoto; Toshimitsu Hamasa Название: Sample Size Determination in Clinical Trials with Multiple Endpoints ISBN: 3319220047 ISBN-13(EAN): 9783319220048 Издательство: Springer Рейтинг: Цена: 46570.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
1.Introduction.- 2.Continuous Co-primary Endpoints.- 3.Binary Co-primary Endpoints.- 4.Convenient Sample Size Formula.- 5.Continuous Primary Endpoints.- 6. Further Developments.- A.Sample Size Calculation Using other Contrasts for Binary Endpoints.- B.Empirical Power for Sample Size Calculation for Binary Co-primary Endpoints.- C.Numerical Tables for Ck in the Convenient Sample Size Formula for the Three Co-primary Continuous Endpoints Cace.- D.Software Programs for Sample Size Calculation for Continuous Co-primary Endpoints.- References.
Автор: Sutradhar Название: Advances and Challenges in Parametric and Semi-parametric Analysis for Correlated Data ISBN: 3319312588 ISBN-13(EAN): 9783319312583 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This proceedings volume contains eight selected papers thatwere presented in the International Symposium in Statistics (ISS) 2015 OnAdvances in Parametric and Semi-parametric Analysis of Multivariate, TimeSeries, Spatial-temporal, and Familial-longitudinal Data, held in St. John`s,Canada from July 6 to 8, 2015.
Название: Generalized Linear and Nonlinear Models for Correlated Data ISBN: 1599946475 ISBN-13(EAN): 9781599946474 Издательство: Неизвестно Рейтинг: Цена: 143390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Edward F. Vonesh's Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS is devoted to the analysis of correlated response data using SAS, with special emphasis on applications that require the use of generalized linear models or generalized nonlinear models. Written in a clear, easy-to-understand manner, it provides applied statisticians with the necessary theory, tools, and understanding to conduct complex analyses of continuous and/or discrete correlated data in a longitudinal or clustered data setting. Using numerous and complex examples, the book emphasizes real-world applications where the underlying model requires a nonlinear rather than linear formulation and compares and contrasts the various estimation techniques for both marginal and mixed-effects models. The SAS procedures MIXED, GENMOD, GLIMMIX, and NLMIXED as well as user-specified macros will be used extensively in these applications. In addition, the book provides detailed software code with most examples so that readers can begin applying the various techniques immediately.
Автор: Vonesh Edward F. Название: Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS ISBN: 1642953261 ISBN-13(EAN): 9781642953268 Издательство: Неизвестно Рейтинг: Цена: 186310.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Edward Vonesh's Generalized Linear and Nonlinear Models for Correlated Data: Theory and Applications Using SAS is devoted to the analysis of correlated response data using SAS, with special emphasis on applications that require the use of generalized linear models or generalized nonlinear models. Written in a clear, easy-to-understand manner, it provides applied statisticians with the necessary theory, tools, and understanding to conduct complex analyses of continuous and/or discrete correlated data in a longitudinal or clustered data setting. Using numerous and complex examples, the book emphasizes real-world applications where the underlying model requires a nonlinear rather than linear formulation and compares and contrasts the various estimation techniques for both marginal and mixed-effects models. The SAS procedures MIXED, GENMOD, GLIMMIX, and NLMIXED as well as user-specified macros will be used extensively in these applications. In addition, the book provides detailed software code with most examples so that readers can begin applying the various techniques immediately.
Автор: Alexander N. Dudin; Valentina I. Klimenok; Vladimi Название: The Theory of Queuing Systems with Correlated Flows ISBN: 3030320715 ISBN-13(EAN): 9783030320713 Издательство: Springer Рейтинг: Цена: 93160.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: After first setting up the basic tools needed for the study of queuing theory, the authors concentrate on complicated systems: multi-server systems with phase type distribution of service time or single-server queues with arbitrary distribution of service time or semi-Markovian service.
Автор: Timothy G. Gregoire; David R. Brillinger; Peter Di Название: Modelling Longitudinal and Spatially Correlated Data ISBN: 0387982167 ISBN-13(EAN): 9780387982168 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This refereed volume includes papers presented at a conference on modelling longitudinal and spatially correlated data. Many of the best researchers in the world have presented papers in an area with important applications to biostatistics and the environmental sciences.
Автор: Jamie D. Riggs, Trent L. Lalonde Название: Handbook for Applied Modeling: Non-Gaussian and Correlated Data ISBN: 1107146992 ISBN-13(EAN): 9781107146990 Издательство: Cambridge Academ Рейтинг: Цена: 107710.00 T Наличие на складе: Невозможна поставка. Описание: Designed for the applied practitioner, this book is a compact, entry-level guide to modeling and analyzing data that fail idealized assumptions. It explains and demonstrates core techniques, common pitfalls and data issues, and interpretation of model results, all with a focus on application, utility, and real-life data.
Автор: Jeffrey R. Wilson; Kent A. Lorenz Название: Modeling Binary Correlated Responses using SAS, SPSS and R ISBN: 3319373617 ISBN-13(EAN): 9783319373614 Издательство: Springer Рейтинг: Цена: 79190.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Statistical tools to analyze correlated binary data are spread out in the existing literature. Data and computer programs will be publicly available in order for readers to replicate model development, but learning a new statistical language is not necessary with this book.
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