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Modelling Longitudinal and Spatially Correlated Data, Timothy G. Gregoire; David R. Brillinger; Peter Di


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Автор: Timothy G. Gregoire; David R. Brillinger; Peter Di
Название:  Modelling Longitudinal and Spatially Correlated Data
ISBN: 9780387982168
Издательство: Springer
Классификация:


ISBN-10: 0387982167
Обложка/Формат: Paperback
Страницы: 402
Вес: 0.58 кг.
Дата издания: 29.05.1997
Серия: Lecture Notes in Statistics
Язык: English
Размер: 234 x 156 x 22
Основная тема: Mathematics
Ссылка на Издательство: Link
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Поставляется из: Германии
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.


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.

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.

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.

Models for Discrete Longitudinal Data

Автор: Geert Molenberghs; Geert Verbeke
Название: Models for Discrete Longitudinal Data
ISBN: 1441920439 ISBN-13(EAN): 9781441920430
Издательство: Springer
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Цена: 21661.00 р.
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Описание: The linear mixed model has become the main parametric tool for the analysis of continuous longitudinal data, as the authors discussed in their 2000 book.

Linear Mixed Models for Longitudinal Data

Автор: Geert Verbeke; Geert Molenberghs
Название: Linear Mixed Models for Longitudinal Data
ISBN: 1475773846 ISBN-13(EAN): 9781475773842
Издательство: Springer
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Цена: 19564.00 р.
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Dynamic Mixed Models for Familial Longitudinal Data

Автор: Brajendra C. Sutradhar
Название: Dynamic Mixed Models for Familial Longitudinal Data
ISBN: 1461428017 ISBN-13(EAN): 9781461428015
Издательство: Springer
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Цена: 18167.00 р.
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Описание: This book provides a theoretical foundation for analysis of discrete data such as count and binary data in the longitudinal setup. It presents differences between the familial and longitudinal correlation models, and illustrations of real life data analysis.

Nonparametric Regression Analysis of Longitudinal Data

Автор: Hans-Georg M?ller
Название: Nonparametric Regression Analysis of Longitudinal Data
ISBN: 038796844X ISBN-13(EAN): 9780387968445
Издательство: Springer
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Цена: 16769.00 р.
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Описание: This text evolved during a set of lectures given by the author at the Division of Statistics at the University of California, Davis in Fall 1986 and is based on the author`s Habilitationsschrift submitted to the University of Marburg in Spring 1985 as well as on published and unpublished work.

Longitudinal Categorical Data Analysis

Автор: Brajendra C. Sutradhar
Название: Longitudinal Categorical Data Analysis
ISBN: 1493953206 ISBN-13(EAN): 9781493953202
Издательство: Springer
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Цена: 13275.00 р.
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Описание: This is the first book in longitudinal categorical data analysis with parametric correlation models developed based on dynamic relationships among repeated categorical responses.


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