Автор: Stephen W. Looney Название: Biostatistical Methods ISBN: 1617372714 ISBN-13(EAN): 9781617372711 Издательство: Springer Рейтинг: Цена: 18566 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Leading biostatisticians and biomedical researchers describe many of the key techniques used to solve commonly occurring data analytic problems in molecular biology, and demonstrate how these methods can be used in the development of new markers for exposure to a risk factor or for disease outcomes.
Описание: Topics from modern cancer clinical trials include phase I clinical trials for combination therapies, exploratory phase II trials with multiple endpoints/treatments, and confirmative biomarker-based phase III trials with interim monitoring and adaptation.
Автор: Vexler Название: Biostatistical Methods ISBN: 1138196894 ISBN-13(EAN): 9781138196896 Издательство: Taylor&Francis Рейтинг: Цена: 12099 р. Наличие на складе: Невозможна поставка.
Описание: This book should be appropriate for use both as a text and as a reference. This book delivers a "ready-to-go" well-structured product to be employed in developing advanced courses. In this book the readers can find classical and new theoretical methods, open problems and new procedures.
Автор: Commenges Название: Dynamical Biostatistical Models ISBN: 1498729673 ISBN-13(EAN): 9781498729673 Издательство: Taylor&Francis Рейтинг: Цена: 12099 р. Наличие на складе: Невозможна поставка.
Dynamical Biostatistical Models presents statistical models and methods for the analysis of longitudinal data. The book focuses on models for analyzing repeated measures of quantitative and qualitative variables and events history, including survival and multistate models. Most of the advanced methods, such as multistate and joint models, can be applied using SAS or R software.
The book describes advanced regression models that include the time dimension, such as mixed-effect models, survival models, multistate models, and joint models for repeated measures and time-to-event data. It also explores the possibility of unifying these models through a stochastic process point of view and introduces the dynamic approach to causal inference.
Drawing on much of their own extensive research, the authors use three main examples throughout the text to illustrate epidemiological questions and methodological issues. Readers will see how each method is applied to real data and how to interpret the results.
Описание: The topical areas include active areas of the application of biostatistics to modern cancer research: survival analysis, screening, diagnostics, spatial analysis and the analysis of microarray data.Biostatistics is an essential component of basic and clinical cancer research.
Описание: The aim of this book is to equip biostatisticians and other quantitative scientists with the necessary skills, knowledge, and habits to collaborate effectively with clinicians in the healthcare field. The book provides valuable insight on where to look for information and material on sample size and statistical techniques commonly used in clinical research, and on how best to communicate with clinicians. It also covers the best practices to adopt in terms of project, time, and data management; relationship with collaborators; etc.
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