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Modeling Longitudinal Data, Robert E. Weiss


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Автор: Robert E. Weiss
Название:  Modeling Longitudinal Data
ISBN: 9781441923219
Издательство: Springer
Классификация:


ISBN-10: 1441923217
Обложка/Формат: Paperback
Страницы: 432
Вес: 0.63 кг.
Дата издания: 19.11.2010
Серия: Springer Texts in Statistics
Язык: English
Размер: 234 x 156 x 23
Основная тема: Medicine & Public Health
Ссылка на Издательство: Link
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Поставляется из: Германии
Описание:

The book features many figures and tables illustrating longitudinal data and numerous homework problems.

The associated web site contains many longitudinal data sets, examples of computer code, and labs to re-enforce the material.

Weiss emphasizes continuous data rather than discrete data, graphical and covariance methods, and generalizations of regression rather than generalizations of analysis of variance.





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.

Intensive Longitudinal Methods

Автор: Bolger, Niall.
Название: Intensive Longitudinal Methods
ISBN: 146250678X ISBN-13(EAN): 9781462506781
Издательство: Taylor&Francis
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Цена: 7808.00 р.
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Описание: This book offers a complete, practical guide to doing an intensive longitudinal study with individuals, dyads, or groups. It provides the tools for studying social, psychological, and physiological processes in everyday contexts, using methods such as diary and experience sampling. A range of engaging, worked-through research examples with datasets are featured. Coverage includes how to: select the best intensive longitudinal design for a particular research question, apply multilevel models to within-subject designs, model within-subject change processes for continuous and categorical outcomes, assess the reliability of within-subject changes, assure sufficient statistical power, and more. Several end-of-chapter write-ups illustrate effective ways to present study findings for publication. Datasets and output in SPSS, SAS, Mplus, HLM, MLwiN, and R for the examples are available on the companion website (www.intensivelongitudinal.com).

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.

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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ISS-2012 Proceedings Volume On Longitudinal Data Analysis Subject to Measurement Errors, Missing Values, and/or Outliers

Автор: Brajendra C. Sutradhar
Название: ISS-2012 Proceedings Volume On Longitudinal Data Analysis Subject to Measurement Errors, Missing Values, and/or Outliers
ISBN: 1461468701 ISBN-13(EAN): 9781461468707
Издательство: Springer
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Цена: 15372.00 р.
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Описание: "This special proceedings volume contains nine selected papers that were presented in the International Symposium in Statistics (ISS) on Longitudinal Data Analysis Subject to Outliers, Measurement Errors, and/or Missing Values, held at Memorial University, Canada from July 16-18, 2012.

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.

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.

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.

Modelling Longitudinal and Spatially Correlated Data

Автор: Timothy G. Gregoire; David R. Brillinger; Peter Di
Название: Modelling Longitudinal and Spatially Correlated Data
ISBN: 0387982167 ISBN-13(EAN): 9780387982168
Издательство: Springer
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Цена: 16769.00 р.
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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.

ISS-2012 Proceedings Volume On Longitudinal Data Analysis Subject to Measurement Errors, Missing Values, and/or Outliers

Автор: Brajendra C. Sutradhar
Название: ISS-2012 Proceedings Volume On Longitudinal Data Analysis Subject to Measurement Errors, Missing Values, and/or Outliers
ISBN: 1489998209 ISBN-13(EAN): 9781489998200
Издательство: Springer
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Цена: 24456.00 р.
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Описание: These nine papers cover three different areas for longitudinal data analysis, four dealing with longitudinal data subject to measurement errors, four on incomplete longitudinal data analysis, and the last one for inferences for longitudinal data subject to outliers.

Unified Methods for Censored Longitudinal Data and Causality

Автор: Mark J. van der Laan; James M Robins
Название: Unified Methods for Censored Longitudinal Data and Causality
ISBN: 1441930558 ISBN-13(EAN): 9781441930552
Издательство: Springer
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Цена: 23058.00 р.
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Описание: A fundamental statistical framework for the analysis of complex longitudinal data is provided in this book. The techniques go beyond standard statistical approaches and can be used to teach masters and Ph.D. The text is ideally suitable for researchers in statistics with a strong interest in the analysis of complex longitudinal data.


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