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Applied Longitudinal Data Analysis for Medical Science: A Practical Guide, Jos W. R. Twisk


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Цена: 8237.00р.
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Автор: Jos W. R. Twisk
Название:  Applied Longitudinal Data Analysis for Medical Science: A Practical Guide
ISBN: 9781009288033
Издательство: Cambridge Academ
Классификация:



ISBN-10: 1009288032
Обложка/Формат: Paperback
Страницы: 300
Вес: 0.45 кг.
Дата издания: 27.04.2023
Язык: English
Издание: 3 revised edition
Иллюстрации: Worked examples or exercises
Размер: 139 x 216 x 23
Ключевые слова: Epidemiology & medical statistics, MEDICAL / Epidemiology
Подзаголовок: A practical guide
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: Essential for non-statisticians and researchers working with longitudinal data from medical studies, this updated new edition discusses the most important techniques available for analysing data of this type. Using non-technical language, the book explores simple methods such as the paired t-test and summary statistics as well as more sophisticated regression-based methods, including mixed model analysis. The emphasis of the discussion lies in the interpretation of the results of these different methods, covering data analysis with continuous, dichotomous, categorical and other outcome variables. Datasets used throughout the book are provided, enabling readers to re-analyse the examples as they make their way through chapters and improve their understanding of the material. Finally, an extensive and practical overview of, and comparison between, different software packages is provided. Readers will be able to use this book as a practical manual in their everyday work without needing a strong background in statistics.


Applied Longitudinal Data Analysis for Medical Science: A Practical Guide

Автор: Jos W. R. Twisk
Название: Applied Longitudinal Data Analysis for Medical Science: A Practical Guide
ISBN: 1009288040 ISBN-13(EAN): 9781009288040
Издательство: Cambridge Academ
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Цена: 16474.00 р.
Наличие на складе: Есть у поставщика Поставка под заказ.

Описание: Essential for non-statisticians and researchers working with longitudinal data from medical studies, this updated new edition discusses the most important techniques available for analysing data of this type. Using non-technical language, the book explores simple methods such as the paired t-test and summary statistics as well as more sophisticated regression-based methods, including mixed model analysis. The emphasis of the discussion lies in the interpretation of the results of these different methods, covering data analysis with continuous, dichotomous, categorical and other outcome variables. Datasets used throughout the book are provided, enabling readers to re-analyse the examples as they make their way through chapters and improve their understanding of the material. Finally, an extensive and practical overview of, and comparison between, different software packages is provided. Readers will be able to use this book as a practical manual in their everyday work without needing a strong background in statistics.

The Analysis of Biological Data

Автор: Michael C. Whitlock, Dolph Schluter
Название: The Analysis of Biological Data
ISBN: 1319325343 ISBN-13(EAN): 9781319325343
Издательство: Macmillan Learning
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Цена: 13858.00 р.
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Описание: The evolution of a classicThe new 12th edition of Introduction to Genetic Analysis takes this cornerstone textbook to the next level.

Applied Mixed Model Analysis: A Practical Guide

Автор: Jos W. R. Twisk
Название: Applied Mixed Model Analysis: A Practical Guide
ISBN: 110872776X ISBN-13(EAN): 9781108727761
Издательство: Cambridge Academ
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Цена: 8237.00 р.
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Описание: This book explains all aspects of mixed model analysis without mathematical jargon, so that non-statisticians can understand the basic principles, analyze their own data, and interpret the results with confidence. Worked examples are analyzed with STATA, and all datasets are available for download, equipping readers to replicate the methods.

Analysis of longitudinal data

Название: Analysis of longitudinal data
ISBN: 0199676755 ISBN-13(EAN): 9780199676750
Издательство: Oxford Academ
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Цена: 8395.00 р.
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Описание: This second edition has been completely revised and expanded to become the most up-to-date and thorough professional reference text in this fast-moving area of biostatistics. It contains an additional two chapters on fully parametric models for discrete repeated measures data and statistical models for time-dependent predictors.

Analysis of Longitudinal Data by Example

Автор: Wang
Название: Analysis of Longitudinal Data by Example
ISBN: 1498764606 ISBN-13(EAN): 9781498764605
Издательство: Taylor&Francis
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Цена: 13779.00 р.
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Описание: Currently, there are a lack of intermediate /advanced level textbooks which introduce students and practicing statisticians to the updated methods on correlated data inference. T

Longitudinal Data Analysis

Автор: Newsom
Название: Longitudinal Data Analysis
ISBN: 0415874149 ISBN-13(EAN): 9780415874144
Издательство: Taylor&Francis
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Цена: 22202.00 р.
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Описание:

This book provides accessible treatment to state-of-the-art approaches to analyzing longitudinal studies. Comprehensive coverage of the most popular analysis tools allows readers to pick and choose the techniques that best fit their research. The analyses are illustrated with examples from major longitudinal data sets including practical information about their content and design. Illustrations from popular software packages offer tips on how to interpret the results. Each chapter features suggested readings for additional study and a list of articles that further illustrate how to implement the analysis and report the results. Syntax examples for several software packages for each of the chapter examples are provided at www.psypress.com/longitudinal-data-analysis.

Although many of the examples address health or social science questions related to aging, readers from other disciplines will find the analyses relevant to their work. In addition to demonstrating statistical analysis of longitudinal data, the book shows how to interpret and analyze the results within the context of the research design. The methods covered in this book are applicable to a range of applied problems including short- to long-term longitudinal studies using a range of sample sizes.

The book provides non-technical, practical introductions to the concepts and issues relevant to longitudinal analysis. Topics include use of publicly available data sets, weighting and adjusting for complex sampling designs with longitudinal studies, missing data and attrition, measurement issues related to longitudinal research, the use of ANOVA and regression for average change over time, mediation analysis, growth curve models, basic and advanced structural equation models, and survival analysis.

An ideal supplement for graduate level courses on data analysis and/or longitudinal modeling taught in psychology, gerontology, public health, human development, family studies, medicine, sociology, social work, and other behavioral, social, and health sciences, this multidisciplinary book will also appeal to researchers in these fields.

Longitudinal Data Analysis

Автор: Jones, Richard N.
Название: Longitudinal Data Analysis
ISBN: 0415874157 ISBN-13(EAN): 9780415874151
Издательство: Taylor&Francis
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Цена: 8573.00 р.
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Practical Longitudinal Data Analysis

Автор: Hand, David J.
Название: Practical Longitudinal Data Analysis
ISBN: 0412599406 ISBN-13(EAN): 9780412599408
Издательство: Taylor&Francis
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Цена: 27562.00 р.
Наличие на складе: Поставка под заказ.

Modeling Longitudinal and Multilevel Data: Practical Issues, Applied Approaches, and Specific Examples

Автор: Little Todd D., Schnabel Kai U., Baumert Jrgen
Название: Modeling Longitudinal and Multilevel Data: Practical Issues, Applied Approaches, and Specific Examples
ISBN: 113801253X ISBN-13(EAN): 9781138012530
Издательство: Taylor&Francis
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Цена: 8573.00 р.
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Описание: Experts on handling longitudinal & multiple-group data contribute various, practical, analytic approaches including SEM,LTA,GLM, and multi-level techniques.Includes helpful tips, applications and examples. Grad students & researchers in social & behavior

Missing Data in Longitudinal Studies

Автор: Daniels, Michael J.
Название: Missing Data in Longitudinal Studies
ISBN: 1584886099 ISBN-13(EAN): 9781584886099
Издательство: Taylor&Francis
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Цена: 15312.00 р.
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Applied Biostatistical Principles and Concepts Clinicians` Guide to Data Analysis and Interpretation

Автор: Laurens Holmes, Jr.
Название: Applied Biostatistical Principles and Concepts Clinicians` Guide to Data Analysis and Interpretation
ISBN: 0367560070 ISBN-13(EAN): 9780367560072
Издательство: Taylor&Francis
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Цена: 6123.00 р.
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Описание: This book provides practical knowledge to biomedical researchers using biological and biochemical specimen in order to understand health and disease processes at cellular, clinical, and population levels. Concepts and techniques provided will help researchers design and conduct studies, then translate data from bench to clinics.

Joint Modeling of Longitudinal and Time-to-Event Data

Автор: Elashoff
Название: Joint Modeling of Longitudinal and Time-to-Event Data
ISBN: 1439807825 ISBN-13(EAN): 9781439807828
Издательство: Taylor&Francis
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Цена: 14086.00 р.
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Описание:

Longitudinal studies often incur several problems that challenge standard statistical methods for data analysis. These problems include non-ignorable missing data in longitudinal measurements of one or more response variables, informative observation times of longitudinal data, and survival analysis with intermittently measured time-dependent covariates that are subject to measurement error and/or substantial biological variation. Joint modeling of longitudinal and time-to-event data has emerged as a novel approach to handle these issues.

Joint Modeling of Longitudinal and Time-to-Event Data provides a systematic introduction and review of state-of-the-art statistical methodology in this active research field. The methods are illustrated by real data examples from a wide range of clinical research topics. A collection of data sets and software for practical implementation of the joint modeling methodologies are available through the book website.

This book serves as a reference book for scientific investigators who need to analyze longitudinal and/or survival data, as well as researchers developing methodology in this field. It may also be used as a textbook for a graduate level course in biostatistics or statistics.


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