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Dynamical Biostatistical Models, Commenges


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Автор: Commenges
Название:  Dynamical Biostatistical Models
Перевод названия: Дэниел Комменджез: Динамические биостатистические модели
ISBN: 9781498729673
Издательство: Taylor&Francis
Классификация:


ISBN-10: 1498729673
Обложка/Формат: Hardback
Страницы: 408
Вес: 0.71 кг.
Дата издания: 09.11.2015
Серия: Chapman & hall/crc biostatistics series
Язык: English
Иллюстрации: 34 tables, black and white; 46 illustrations, black and white
Размер: 164 x 243 x 25
Читательская аудитория: Tertiary education (us: college)
Ключевые слова: Epidemiology & medical statistics, MATHEMATICS / Probability & Statistics / General,MEDICAL / Biostatistics,MEDICAL / Epidemiology
Основная тема: Epidemiology
Ссылка на Издательство: Link
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Поставляется из: Европейский союз
Описание:

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.



Biostatistical Methods

Автор: Looney Stephen W.
Название: Biostatistical Methods
ISBN: 089603951X ISBN-13(EAN): 9780896039513
Издательство: Springer
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Цена: 39390.00 T
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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. Major areas of application include microarray analysis, proteomic studies, image quantitation, genetic susceptibility and association, evaluation of new biomarkers, and power analysis and sample size.

Essentials of a Successful Biostatistical Collaboration

Автор: Earnest
Название: Essentials of a Successful Biostatistical Collaboration
ISBN: 1482226987 ISBN-13(EAN): 9781482226980
Издательство: Taylor&Francis
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Цена: 73490.00 T
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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.

Methodological & Biostatistical

Автор: Cicchetti
Название: Methodological & Biostatistical
ISBN: 9026519648 ISBN-13(EAN): 9789026519642
Издательство: Taylor&Francis
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Цена: 56130.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The goal of the second edition is to introduce the advance undergraduate or graduate student and more seasoned research scientists in any of the allied health sciences to a wide array of methodological and biostatistical issues.

Biostatistical Methods in Epidemiology

Автор: Stephen C. Newman
Название: Biostatistical Methods in Epidemiology
ISBN: 0471369144 ISBN-13(EAN): 9780471369141
Издательство: Wiley
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Цена: 178410.00 T
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Описание: An introduction to classical biostatistical methods in epidemiology, this text provides an introduction to a range of methods used to analyze epidemiologic data, with a focus on nonregression techniques. It also includes a discussion of measurement issues in epidemiology, especially confounding, with an overview of logistic and Cox regression.


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